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Volumn 30, Issue 4, 2011, Pages 701-720

A comparative study of fuzzy c-means algorithm and entropy-based fuzzy clustering algorithms

Author keywords

Entropy based algorithms; Fuzzy c means algorithm; Fuzzy clustering; Self organizing maps

Indexed keywords

CONFORMAL MAPPING; COPYING; ENTROPY; FUZZY CLUSTERING; FUZZY SYSTEMS; SELF ORGANIZING MAPS;

EID: 80053999032     PISSN: 13359150     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (76)

References (24)
  • 3
    • 77749240320 scopus 로고    scopus 로고
    • A novel fuzzy c-means algorithm for unsupervised heterogeneous tumor quantification in PET
    • BELHASSEN, S.-ZAIDI, H.: A Novel Fuzzy C-Means Algorithm for Unsupervised Heterogeneous Tumor Quantification in PET. Medical Physics, Vol. 37, 2010, No. 3, pp. 1309-1324.
    • (2010) Medical Physics , vol.37 , Issue.3 , pp. 1309-1324
    • Belhassen, S.1    Zaidi, H.2
  • 7
    • 0002646822 scopus 로고    scopus 로고
    • Entropy-based subspace clustering for mining numerical data
    • on Knowledge Discovery and Data Mining KDD
    • CHENG, C.-Fu, A.W.-ZHANG, Y.: Entropy-Based Subspace Clustering for Mining Numerical Data. Proc. Int. Conf. on Knowledge Discovery and Data Mining, KDD, 1999.
    • (1999) Proc. Int. Conf.
    • Cheng, C.1    Fu, A.W.2    Zhang, Y.3
  • 8
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • DUNN, J. C: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. J. Cybernet, Vol. 3, 1973, pp. 32-57.
    • (1973) J. Cybernet , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 12
    • 39449096984 scopus 로고    scopus 로고
    • FLAME: A novel fuzzy clustering method for the analysis of DNA microarray data
    • doi:10.1186/1471-2105-8-3
    • Fu, L.-MEDICO, E.: FLAME: A Novel Fuzzy Clustering Method for the Analysis of DNA Microarray Data. BMC Bioinformatics. Vol. 8, 2007, No. 3, doi:10.1186/1471-2105-8-3.
    • (2007) BMC Bioinformatics , vol.8 , Issue.3
    • Fu, L.1    Medico, E.2
  • 13
    • 0003410791 scopus 로고
    • Springer-Verlag, Heidelberg, Germany
    • KOHONEN, T.: Self-Organizing Maps. Springer-Verlag, Heidelberg, Germany, 1995.
    • (1995) Self-Organizing Maps
    • Kohonen, T.1
  • 14
    • 77951276538 scopus 로고    scopus 로고
    • A robust fuzzy local information c-means clustering algorithm
    • on Image Processing
    • KRINIDIS, S.-CHATZIS, V.: A Robust Fuzzy Local Information C-Means Clustering Algorithm. IEEE Trans, on Image Processing, Vol. 19, 2010, No. 5, pp. 1328-1337.
    • (2010) IEEE Trans. , vol.19 , Issue.5 , pp. 1328-1337
    • Krinidis, S.1    Chatzis, V.2
  • 16
    • 84944465016 scopus 로고    scopus 로고
    • Incremental fuzzy mining of gene expression data for gene function prediction
    • on Biomedical Engineering
    • MA, P.-CHAN, K.: Incremental Fuzzy Mining of Gene Expression Data for Gene Function Prediction. IEEE Trans, on Biomedical Engineering, 2010.
    • (2010) IEEE Trans.
    • Ma, P.1    Chan, K.2
  • 18
    • 80053948618 scopus 로고    scopus 로고
    • Fuzzy self-organizing map based on regularized fuzzy c-means clustering
    • J. M. Benitez O. Cordon F. Hoffmann et al. (Eds.) Springer Engineering Series, (Revised papers of the 7th On-line World Conference on Soft Computing in Industrial Applications (WSC7)
    • MIGALY, S.-ABONYI, J.-SZEIFERT, F.: Fuzzy Self-Organizing Map Based on Regularized Fuzzy C-Means Clustering. Advances in Soft Computing, Engineering Design and Manufacturing, in J. M. Benitez, O. Cordon, F. Hoffmann, et al. (Eds.), Springer Engineering Series, (Revised papers of the 7th On-line World Conference on Soft Computing in Industrial Applications (WSC7)), 2002, pp. 99-108.
    • (2002) Advances in Soft Computing Engineering Design and Manufacturing , pp. 99-108
    • Migaly, S.1    Abonyi, J.2    Szeifert, F.3
  • 20
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy c-means model
    • PAL, N. R.-BEZDEK, J.C.: On Cluster Validity for the Fuzzy C-Means Model. IEEEFS, Vol. 3, 1995, No. 3, p. 370.
    • (1995) IEEEFS , vol.3 , Issue.3 , pp. 370
    • Pal, N.R.1    Bezdek, J.C.2
  • 21
    • 51949092391 scopus 로고    scopus 로고
    • Narosa Publishing House, New-Delhi, India
    • PRATIHAR, D.K.: Soft Computing. Narosa Publishing House, New-Delhi, India, 2008.
    • (2008) Soft Computing
    • Pratihar, D.K.1
  • 22
    • 68349147767 scopus 로고    scopus 로고
    • A fully automated algorithm under modified FCM framework for improved brain MR image segmentation
    • SIKKA, K.-SINHA, N.-SINGH, P. K.-MISHRA, A.K.: A Fully Automated Algorithm Under Modified FCM Framework for Improved Brain MR Image Segmentation. Magnetic Resonance Imaging, Vol. 27, 2009, No. 7, pp. 994-1004.
    • (2009) Magnetic Resonance Imaging , vol.27 , Issue.7 , pp. 994-1004
    • Sikka, K.1    Sinha, N.2    Singh, P.K.3    Mishra, A.K.4
  • 23
    • 0008582861 scopus 로고    scopus 로고
    • Entropy-based fuzzy clustering and fuzzy modeling
    • YAO, J.-DASH, M.-TAN, S.T.-Liu, H.: Entropy-Based Fuzzy Clustering and Fuzzy Modeling. Fuzzy Sets and System. Vol. 113, 2000, pp. 381-388.
    • (2000) Fuzzy Sets and System , vol.113 , pp. 381-388
    • Yao, J.1    Dash, M.2    Tan, S.T.3    Liu, H.4
  • 24
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelized fuzzy c-means algorithm with application in medical image segmentation
    • ZHANG, D.Q.-CHEN, S.C.: A Novel Kernelized Fuzzy C-Means Algorithm With Application in Medical Image Segmentation. Artif. Intel. Med, Vol. 32, 2004, pp. 37-50.
    • (2004) Artif. Intel. Med , vol.32 , pp. 37-50
    • Zhang, D.Q.1    Chen, S.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.