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Volumn 7, Issue 12, 2014, Pages 4653-4669

Multiple morphological profiles from multicomponent-base images for hyperspectral image classification

Author keywords

Feature extraction (fe); Hyperspectral imaging; Morphological profiles (mps); Spectral spatial classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; INDEPENDENT COMPONENT ANALYSIS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPACE OPTICS; SPECTROSCOPY;

EID: 85027928433     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2342281     Document Type: Article
Times cited : (58)

References (56)
  • 1
    • 84899967600 scopus 로고    scopus 로고
    • Advances in spectral-spatial classification of hyperspectral images
    • Mar.
    • M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013.
    • (2013) Proc. IEEE , vol.101 , Issue.3 , pp. 652-675
    • Fauvel, M.1    Tarabalka, Y.2    Benediktsson, J.A.3    Chanussot, J.4    Tilton, J.C.5
  • 2
    • 0035248508 scopus 로고    scopus 로고
    • A new approach for the morphological segmentation of high resolution satellite imagery
    • Feb.
    • M. Pesaresi and J. Benediktsson, "A new approach for the morphological segmentation of high resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.2 , pp. 309-320
    • Pesaresi, M.1    Benediktsson, J.2
  • 3
    • 14644412366 scopus 로고    scopus 로고
    • Classification of hyperspectral data from urban areas based on extended morphological profiles
    • Mar.
    • J. A. Benediktsson, J. A. Palmason, and J. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 480-491, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 480-491
    • Benediktsson, J.A.1    Palmason, J.A.2    Sveinsson, J.3
  • 4
    • 67651152616 scopus 로고    scopus 로고
    • Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery
    • Jul.
    • X. Huang, L. Zhang, and L. Wang, "Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 3, pp. 393-397, Jul. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.3 , pp. 393-397
    • Huang, X.1    Zhang, L.2    Wang, L.3
  • 5
    • 67650245545 scopus 로고    scopus 로고
    • Road centreline extraction from high-resolution imagery based on multiscale structural features and support vector machines
    • Apr.
    • X. Huang and L. Zhang, "Road centreline extraction from high-resolution imagery based on multiscale structural features and support vector machines," Int. J. Remote Sens., vol. 30, no. 8, pp. 1977-1987, Apr. 2009.
    • (2009) Int. J. Remote Sens. , vol.30 , Issue.8 , pp. 1977-1987
    • Huang, X.1    Zhang, L.2
  • 6
    • 56849127860 scopus 로고    scopus 로고
    • Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
    • Nov.
    • M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.11 , pp. 3804-3814
    • Fauvel, M.1    Benediktsson, J.A.2    Chanussot, J.3    Sveinsson, J.R.4
  • 7
    • 77957007028 scopus 로고    scopus 로고
    • Morphological attribute profiles for the analysis of very high resolution images
    • Oct.
    • M. Dalla Mura, J. A. Benediktsson, B. Waske, and L. Bruzzone, "Morphological attribute profiles for the analysis of very high resolution images," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3747-3762, Oct. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.10 , pp. 3747-3762
    • Dalla Mura, M.1    Benediktsson, J.A.2    Waske, B.3    Bruzzone, L.4
  • 8
    • 78649843439 scopus 로고    scopus 로고
    • Extended profiles with morphological attribute filters for the analysis of hyperspectral data
    • Nov.
    • M. Dalla Mura, J. A. Benediktsson, B. Waske, and L. Bruzzone, "Extended profiles with morphological attribute filters for the analysis of hyperspectral data," Int. J. Remote Sens., vol. 31, no. 22, pp. 5975-5991, Nov. 2010.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.22 , pp. 5975-5991
    • Dalla Mura, M.1    Benediktsson, J.A.2    Waske, B.3    Bruzzone, L.4
  • 9
    • 84864768761 scopus 로고    scopus 로고
    • Classification of hyperspectral data over urban areas using directional morphological profiles and semi-supervised feature extraction
    • Aug.
    • W. Liao, R. Bellens, A. Pizurica, W. Philips, and Y. Pi, "Classification of hyperspectral data over urban areas using directional morphological profiles and semi-supervised feature extraction," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 3, pp. 1164-1176, Aug. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.3 , pp. 1164-1176
    • Liao, W.1    Bellens, R.2    Pizurica, A.3    Philips, W.4    Pi, Y.5
  • 10
    • 84871748730 scopus 로고    scopus 로고
    • An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high resolution remotely sensed imagery
    • Jan.
    • X. Huang and L. Zhang, "An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high resolution remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 257-272, Jan. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 257-272
    • Huang, X.1    Zhang, L.2
  • 11
    • 84891739734 scopus 로고    scopus 로고
    • Hyperspectral image classification using band selection and morphological profiles
    • Jan.
    • K. Tan, E. Li, Q. Du, and P. Du, "Hyperspectral image classification using band selection and morphological profiles," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 1, pp. 40-48, Jan. 2014, doi: 10.1109/JSTARS.2013.2265697.
    • (2014) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.7 , Issue.1 , pp. 40-48
    • Tan, K.1    Li, E.2    Du, Q.3    Du, P.4
  • 12
    • 66749175769 scopus 로고    scopus 로고
    • Kernel principal component analysis for the classification of hyperspectral remote-sensing data over urban areas
    • Feb.
    • M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Kernel principal component analysis for the classification of hyperspectral remote-sensing data over urban areas," EURASIP J. Adv. Signal Process., vol. 2009, pp. 1-14, Feb. 2009.
    • (2009) EURASIP J. Adv. Signal Process. , vol.2009 , pp. 1-14
    • Fauvel, M.1    Chanussot, J.2    Benediktsson, J.A.3
  • 13
    • 33745685587 scopus 로고    scopus 로고
    • Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis
    • J. A. Palmason, J. A. Benediktsson, J. R. Sveinsson, and J. Chanussot, "Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis," in Proc. IEEE Trans. Int. Geosci. Remote Sens., Jul. 2005, vol. 1, pp. 176-179.
    • (2005) Proc. IEEE Trans. Int. Geosci. Remote Sens., Jul. , vol.1 , pp. 176-179
    • Palmason, J.A.1    Benediktsson, J.A.2    Sveinsson, J.R.3    Chanussot, J.4
  • 15
    • 79955521136 scopus 로고    scopus 로고
    • Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis
    • May
    • M. Dalla Mura, A. Villa, J. A. Benediktsson, J. Chanussot, and L. Bruzzone, "Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 3, pp. 542-546, May 2011.
    • (2011) IEEE Geosci. Remote Sens. Lett. , vol.8 , Issue.3 , pp. 542-546
    • Dalla Mura, M.1    Villa, A.2    Benediktsson, J.A.3    Chanussot, J.4    Bruzzone, L.5
  • 16
    • 84869498000 scopus 로고    scopus 로고
    • Automatic generation of standard deviation attribute profiles for spectral-spatial classification of remote sensing data
    • Mar.
    • P. R. Marpu, M. Pedergnana, M. Dalla Mura, J. A. Benediktsson, and L. Bruzzone, "Automatic generation of standard deviation attribute profiles for spectral-spatial classification of remote sensing data," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 293-297, Mar. 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.2 , pp. 293-297
    • Marpu, P.R.1    Pedergnana, M.2    Dalla Mura, M.3    Benediktsson, J.A.4    Bruzzone, L.5
  • 18
    • 26944491594 scopus 로고    scopus 로고
    • Manifold learning and applications in recognition
    • Berlin, Germany: Springer-Verlag
    • J. Zhang, S. Z. Li, and J. Wang, "Manifold learning and applications in recognition," in Intelligent Multimedia Processing With Soft Computing. Berlin, Germany: Springer-Verlag, 2004, pp. 281-300.
    • (2004) Intelligent Multimedia Processing with Soft Computing , pp. 281-300
    • Zhang, J.1    Li, S.Z.2    Wang, J.3
  • 19
    • 33745828886 scopus 로고    scopus 로고
    • Fast independent component analysis with noisy data using Gaussian moments
    • A. Hyvarinen, "Fast independent component analysis with noisy data using Gaussian moments," in Proc. Int. Symp. Circuits Syst., May 1999, pp. 57-61.
    • Proc. Int. Symp. Circuits Syst., May 1999 , pp. 57-61
    • Hyvarinen, A.1
  • 20
    • 84877927996 scopus 로고    scopus 로고
    • An endmember dissimilarity constrained non-negative matrix fractorization method for hyperspectral unmixing
    • Apr.
    • N. Wang, B. Du, and L. Zhang, "An endmember dissimilarity constrained non-negative matrix fractorization method for hyperspectral unmixing," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 2, pp. 554-569, Apr. 2013.
    • (2013) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.6 , Issue.2 , pp. 554-569
    • Wang, N.1    Du, B.2    Zhang, L.3
  • 22
    • 78049264379 scopus 로고    scopus 로고
    • Local manifold learning-based k-nearest-neighbor for hyperspectral image classification
    • Nov.
    • L. Ma, M. M. Crawford, and J. Tian, "Local manifold learning-based k-nearest-neighbor for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Nov. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.11 , pp. 4099-4109
    • Ma, L.1    Crawford, M.M.2    Tian, J.3
  • 24
    • 14644422171 scopus 로고    scopus 로고
    • Exploiting manifold geometry in hyperspectral imagery
    • Mar.
    • C. Bachmann, T. Ainsworth, and R. Fusina, "Exploiting manifold geometry in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 441-454, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 441-454
    • Bachmann, C.1    Ainsworth, T.2    Fusina, R.3
  • 27
    • 38749143022 scopus 로고    scopus 로고
    • MPCA: Multilinear principal component analysis of tensor objects
    • Jan.
    • H. Lu, K. Plataniotis, and A. Venetsanopoulos, "MPCA: Multilinear principal component analysis of tensor objects," IEEE Trans. Neural Netw., vol. 19, no. 1, pp. 18-39, Jan. 2008.
    • (2008) IEEE Trans. Neural Netw. , vol.19 , Issue.1 , pp. 18-39
    • Lu, H.1    Plataniotis, K.2    Venetsanopoulos, A.3
  • 31
    • 0027576716 scopus 로고
    • Morphological grayscale reconstruction in image analysis
    • Apr.
    • L. Vincent, "Morphological grayscale reconstruction in image analysis," IEEE Trans. Image Process., vol. 2, no. 2, pp. 176-201, Apr. 1993.
    • (1993) IEEE Trans. Image Process. , vol.2 , Issue.2 , pp. 176-201
    • Vincent, L.1
  • 32
    • 70350655559 scopus 로고    scopus 로고
    • Classification of very high spatial resolution imagery using mathematical morphology and support vector machines
    • Nov.
    • D. Tuia, F. Pacifici, M. Kanevski, and W. Emery, "Classification of very high spatial resolution imagery using mathematical morphology and support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3866-3879, Nov. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.11 , pp. 3866-3879
    • Tuia, D.1    Pacifici, F.2    Kanevski, M.3    Emery, W.4
  • 33
    • 78649847038 scopus 로고    scopus 로고
    • On the influence of feature reduction for the classification of hyperspectral images based on the extended morphological profile
    • Jul.
    • T. Castaings, B. Waske, J. A. Benediktsson, and J. Chanussot, "On the influence of feature reduction for the classification of hyperspectral images based on the extended morphological profile," Int. J. Remote Sens., vol. 31, no. 22, pp. 5921-5939, Jul. 2010.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.22 , pp. 5921-5939
    • Castaings, T.1    Waske, B.2    Benediktsson, J.A.3    Chanussot, J.4
  • 34
    • 0030290282 scopus 로고    scopus 로고
    • Attribute openings, thinnings and granulometries
    • Nov.
    • E. J. Breen and R. Jones, "Attribute openings, thinnings and granulometries," Comp. Vis. Image Understand., vol. 64, no. 3, pp. 377-389, Nov. 1996.
    • (1996) Comp. Vis. Image Understand. , vol.64 , Issue.3 , pp. 377-389
    • Breen, E.J.1    Jones, R.2
  • 35
    • 34247346536 scopus 로고    scopus 로고
    • A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery
    • Oct.
    • L. Zhang, X. Huang, B. Huang, and P. Li, "A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2950-2961, Oct. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.10 , pp. 2950-2961
    • Zhang, L.1    Huang, X.2    Huang, B.3    Li, P.4
  • 36
    • 0032612381 scopus 로고    scopus 로고
    • High-order contrasts for independent component analysis
    • Jan.
    • J. F. Cardoso, "High-order contrasts for independent component analysis," Neural Comput., vol. 11, no. 1, pp. 157-192, Jan. 1999.
    • (1999) Neural Comput. , vol.11 , Issue.1 , pp. 157-192
    • Cardoso, J.F.1
  • 37
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by nonnegative matrix factorization
    • Oct.
    • D. Lee and H. S. Seung, "Learning the parts of objects by nonnegative matrix factorization," Nature, vol. 401, pp. 788-791, Oct. 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.1    Seung, H.S.2
  • 38
    • 33847733865 scopus 로고    scopus 로고
    • Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization
    • Mar.
    • L. D. Miao and H. R. Qi, "Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 3, pp. 765-777, Mar. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.3 , pp. 765-777
    • Miao, L.D.1    Qi, H.R.2
  • 39
    • 70449433268 scopus 로고    scopus 로고
    • A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia city, northern of Italy
    • Jan.
    • X. Huang and L. Zhang, "A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia city, northern of Italy," Int. J. Remote Sens., vol. 30, no. 12, pp. 3205-3221, Jan. 2009.
    • (2009) Int. J. Remote Sens. , vol.30 , Issue.12 , pp. 3205-3221
    • Huang, X.1    Zhang, L.2
  • 40
    • 1042275194 scopus 로고    scopus 로고
    • Lawrence Livermore Nat. Lab., Livermore, CA, USA, Tech. Rep. UCRL-ID-148494, May
    • I. K. Fodor, "A survey of dimension reduction techniques," Lawrence Livermore Nat. Lab., Livermore, CA, USA, Tech. Rep. UCRL-ID-148494, May 2002.
    • (2002) A Survey of Dimension Reduction Techniques
    • Fodor, I.K.1
  • 41
    • 85028156783 scopus 로고    scopus 로고
    • Available: accessed on Dec. 05, 2013
    • Factor Analysis [Online]. Available: http://en.wikipedia.org/wiki/Factor-analysis, accessed on Dec. 05, 2013.
    • Factor Analysis [Online]
  • 42
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Dec.
    • S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 44
    • 0040528764 scopus 로고
    • Multinomial logistic regression algorithm
    • Mar.
    • D. Böhning, "Multinomial logistic regression algorithm," Ann. Inst. Stat. Math., vol. 44, no. 1, pp. 197-200, Mar. 1992.
    • (1992) Ann. Inst. Stat. Math. , vol.44 , Issue.1 , pp. 197-200
    • Böhning, D.1
  • 45
    • 0141836275 scopus 로고    scopus 로고
    • Adaptive sparseness for supervised learning
    • Sep.
    • M. A. T. Figueiredo, "Adaptive sparseness for supervised learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 9, pp. 1150-1159, Sep. 2003.
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell. , vol.25 , Issue.9 , pp. 1150-1159
    • Figueiredo, M.A.T.1
  • 49
    • 78049282844 scopus 로고    scopus 로고
    • Semi-supervised hyperspectral image segmentation using multinomial logistic regression with active learning
    • Nov.
    • J. Li, J. Bioucas-Dias, and A. Plaza, "Semi-supervised hyperspectral image segmentation using multinomial logistic regression with active learning," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4085-4098, Nov. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.11 , pp. 4085-4098
    • Li, J.1    Bioucas-Dias, J.2    Plaza, A.3
  • 50
    • 80053562930 scopus 로고    scopus 로고
    • Hyperspectral image segmentation using a new Bayesian approach with active learning
    • Oct.
    • J. Li, J. Bioucas-Dias, and A. Plaza, "Hyperspectral image segmentation using a new Bayesian approach with active learning," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3947-3960, Oct. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.10 , pp. 3947-3960
    • Li, J.1    Bioucas-Dias, J.2    Plaza, A.3
  • 51
    • 77951204124 scopus 로고    scopus 로고
    • Comparison of vector stacking, multi-SVMs fuzzy output, and multi-SVMs voting methods for multiscale VHR urban mapping
    • Apr.
    • X. Huang and L. Zhang, "Comparison of vector stacking, multi-SVMs fuzzy output, and multi-SVMs voting methods for multiscale VHR urban mapping," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 2, pp. 261-265, Apr. 2010.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , Issue.2 , pp. 261-265
    • Huang, X.1    Zhang, L.2
  • 52
    • 77950936203 scopus 로고    scopus 로고
    • Semi-supervised hyperspectral image classification based on a Markov random field and sparse multinomial logistic regression
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Semi-supervised hyperspectral image classification based on a Markov random field and sparse multinomial logistic regression," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2009, pp. III-817-III-820.
    • Proc. IEEE Int. Geosci. Remote Sens. Symp., 2009 , pp. III817-III820
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 53
    • 84896329631 scopus 로고    scopus 로고
    • Remotely sensed image classification using sparse representations of morphological attribute profiles
    • B. Song et al., "Remotely sensed image classification using sparse representations of morphological attribute profiles," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 5122-5136, Aug. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.8 , pp. 5122-5136
    • Song, B.1
  • 55
    • 84865275789 scopus 로고    scopus 로고
    • Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques
    • Sep.
    • P. R. Marpu et al., "Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques," Int. J. Image Data Fusion, vol. 3, no. 3, pp. 269-298, Sep. 2012.
    • (2012) Int. J. Image Data Fusion , vol.3 , Issue.3 , pp. 269-298
    • Marpu, P.R.1
  • 56
    • 49849097634 scopus 로고    scopus 로고
    • The relationships among various nonnegative matrix factorization methods for clustering
    • T. Li and C. Ding, "The relationships among various nonnegative matrix factorization methods for clustering," in Proc. IEEE Int. Conf. Data Min., 2006, pp. 362-371.
    • Proc. IEEE Int. Conf. Data Min., 2006 , pp. 362-371
    • Li, T.1    Ding, C.2


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