메뉴 건너뛰기




Volumn 12, Issue 5, 2012, Pages 1542-1554

DBCAMM: A novel density based clustering algorithm via using the Mahalanobis metric

Author keywords

Clustering; Followers; Image segmentation; Leaders; Mahalanobis distance

Indexed keywords

CLUSTERING; CLUSTERING INFORMATION; DATA SETS; DENSITY CLUSTERING; DENSITY-BASED CLUSTERING ALGORITHMS; EUCLIDEAN DISTANCE; FOLLOWERS; LEADERS; MAHALANOBIS DISTANCES; MAHALANOBIS METRIC; SEGMENTATION RESULTS; SUB-CLUSTERS; SYNTHETIC DATASETS;

EID: 84862784204     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.12.015     Document Type: Article
Times cited : (29)

References (48)
  • 1
    • 77950369345 scopus 로고    scopus 로고
    • Date clustering: 50 years beyond K-means
    • Jain A.K. Date clustering: 50 years beyond K-means Pattern Recogn. Lett. 31 2009 651 666
    • (2009) Pattern Recogn. Lett. , vol.31 , pp. 651-666
    • Jain, A.K.1
  • 2
    • 85170282443 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • Portland, Oregon
    • Ester M., Kriegel H.P., and Xu X. A density-based algorithm for discovering clusters in large spatial databases with noise Proceedings of 2nd ACM SIGKDD Portland, Oregon 1996 226 231
    • (1996) Proceedings of 2nd ACM SIGKDD , pp. 226-231
    • Ester, M.1    Kriegel, H.P.2    Xu, X.3
  • 3
    • 0037099107 scopus 로고    scopus 로고
    • Effects of cloud horizontal inhomogeneity on the optical thickness retrieved from moderate-resolution satellites data
    • Iwabuchi H., and Hayasaka T. Effects of cloud horizontal inhomogeneity on the optical thickness retrieved from moderate-resolution satellites data J. Atmos. Sci. 59 14 2002 2227 2242
    • (2002) J. Atmos. Sci. , vol.59 , Issue.14 , pp. 2227-2242
    • Iwabuchi, H.1    Hayasaka, T.2
  • 5
    • 79952106003 scopus 로고    scopus 로고
    • APSCAN: A parameter free algorithm for clustering
    • Chen X., Liu W., Qiu H., and Lai J. APSCAN: a parameter free algorithm for clustering Pattern Recogn. Lett. 32 7 2011 973 986
    • (2011) Pattern Recogn. Lett. , vol.32 , Issue.7 , pp. 973-986
    • Chen, X.1    Liu, W.2    Qiu, H.3    Lai, J.4
  • 7
    • 34547434740 scopus 로고    scopus 로고
    • On fuzzy cluster validity indices
    • Wang W.N., and Zhang Y.J. On fuzzy cluster validity indices Fuzzy Sets Syst. 158 2007 2095 2117
    • (2007) Fuzzy Sets Syst. , vol.158 , pp. 2095-2117
    • Wang, W.N.1    Zhang, Y.J.2
  • 10
    • 0032595163 scopus 로고    scopus 로고
    • A note on the Gustafson-Kessel and adaptive fuzzy clustering algorithms
    • Krishnapuram R., and Kim J. A note on the Gustafson-Kessel and adaptive fuzzy clustering algorithms IEEE Trans. Fuzzy Syst. 7 4 1999 453 461
    • (1999) IEEE Trans. Fuzzy Syst. , vol.7 , Issue.4 , pp. 453-461
    • Krishnapuram, R.1    Kim, J.2
  • 11
    • 10644261327 scopus 로고    scopus 로고
    • Evaluation of the performance of clustering algorithm in kernel-induced feature space
    • Kim D.W., Lee K.Y., Lee D., and Lee K.H. Evaluation of the performance of clustering algorithm in kernel-induced feature space Pattern Recogn. 38 2005 607 611
    • (2005) Pattern Recogn. , vol.38 , pp. 607-611
    • Kim, D.W.1    Lee, K.Y.2    Lee, D.3    Lee, K.H.4
  • 13
    • 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. Cybern. 3 3 1973 32 57
    • (1973) J. Cybern. , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 16
    • 0037287655 scopus 로고    scopus 로고
    • Learning a semantic space from users relevance feedback for image retrieval
    • He X., King O., Ma W.Y., Li M., and Zhang H.J. Learning a semantic space from users relevance feedback for image retrieval IEEE Trans. Circ. Syst. Vid. 13 1 2003 39 48
    • (2003) IEEE Trans. Circ. Syst. Vid. , vol.13 , Issue.1 , pp. 39-48
    • He, X.1    King, O.2    Ma, W.Y.3    Li, M.4    Zhang, H.J.5
  • 17
    • 1042277537 scopus 로고    scopus 로고
    • Learning from user behavior in image retrieval: Application of market basket analysis
    • Muller H., Pun T., and Squire D. Learning from user behavior in image retrieval: application of market basket analysis Int. J. Comput. Vis. 56 1-2 2004 65 77
    • (2004) Int. J. Comput. Vis. , vol.56 , Issue.12 , pp. 65-77
    • Muller, H.1    Pun, T.2    Squire, D.3
  • 18
    • 70350130556 scopus 로고    scopus 로고
    • Rough-DBSCAN: A fast hybrid density based clustering method for large data sets
    • Viswanath P., and Suresh Babu V. Rough-DBSCAN: a fast hybrid density based clustering method for large data sets Pattern Recogn. Lett. 30 2009 1477 1488
    • (2009) Pattern Recogn. Lett. , vol.30 , pp. 1477-1488
    • Viswanath, P.1    Suresh Babu, V.2
  • 20
    • 33646589004 scopus 로고    scopus 로고
    • Enhancement of fuzzy clustering by mechanisms of partial supervision
    • DOI 10.1016/j.fss.2006.02.015, PII S0165011406000960
    • Bouchachia A., and Pedrycz W. Enhancement of fuzzy clustering by mechanisms of partial supervision Fuzzy Sets Syst. 157 13 2006 1733 1759 (Pubitemid 43729502)
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.13 , pp. 1733-1759
    • Bouchachia, A.1    Pedrycz, W.2
  • 21
    • 70849125660 scopus 로고    scopus 로고
    • A new Kernelized hybrid c-mean clustering model with optimized parameters
    • Tushir M., and Srivastava S. A new Kernelized hybrid c-mean clustering model with optimized parameters Appl. Soft. Comput. 10 2010 381 389
    • (2010) Appl. Soft. Comput. , vol.10 , pp. 381-389
    • Tushir, M.1    Srivastava, S.2
  • 22
    • 0041877699 scopus 로고    scopus 로고
    • A new kernel-based fuzzy clustering approach: Support vector clustering with cell growing
    • Chiang J.H., and Hao P.Y. A new kernel-based fuzzy clustering approach: support vector clustering with cell growing IEEE Trans. Fuzzy Syst. 11 4 2003 518 527
    • (2003) IEEE Trans. Fuzzy Syst. , vol.11 , Issue.4 , pp. 518-527
    • Chiang, J.H.1    Hao, P.Y.2
  • 23
    • 33745176186 scopus 로고    scopus 로고
    • Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets
    • DOI 10.1007/s00500-005-0043-5
    • Shen H., Yang J., Wang S., and Liu X. Attribute weighted Mercer kernel based fuzzy clustering algorithm for general non-spherical datasets Soft. Comput. 10 11 2006 1061 1073 (Pubitemid 43899027)
    • (2006) Soft Computing , vol.10 , Issue.11 , pp. 1061-1073
    • Shen, H.1    Yang, J.2    Wang, S.3    Liu, X.4
  • 24
    • 0842300534 scopus 로고    scopus 로고
    • Clustering incomplete data using kernel-based fuzzy C-means algorithm
    • Zhang D.Q., and Chen S.C. Clustering incomplete data using kernel-based fuzzy C-means algorithm Neural Process. Lett. 18 3 2003 155 162
    • (2003) Neural Process. Lett. , vol.18 , Issue.3 , pp. 155-162
    • Zhang, D.Q.1    Chen, S.C.2
  • 27
    • 0002663098 scopus 로고
    • SLINK: An optimally efficient algorithm for the single-link cluster method
    • Sibson R. SLINK: an optimally efficient algorithm for the single-link cluster method Comput. J. 16 1 1973 30 34
    • (1973) Comput. J. , vol.16 , Issue.1 , pp. 30-34
    • Sibson, R.1
  • 30
    • 0001606108 scopus 로고
    • Population definition, sample selection, and calibration procedures for near-infrared reflectance spectroscopy
    • Shenk J.S., and Westerhaus M.O. Population definition, sample selection, and calibration procedures for near-infrared reflectance spectroscopy Crop Sci. 31 1991 469 474
    • (1991) Crop Sci. , vol.31 , pp. 469-474
    • Shenk, J.S.1    Westerhaus, M.O.2
  • 31
    • 0030959748 scopus 로고    scopus 로고
    • Characterisation of the representativity of selected sets of samples in multivariate calibration and pattern recognition
    • DOI 10.1016/S0003-2670(97)00296-1, PII S0003267097002961
    • Jouan-Rimbaud D., Massart D.L., Saby C.A., and Puel C. Characterisation of the representativity of selected sets of samples in multivariate calibration and pattern recognition Anal. Chim. Acta 350 1997 149 161 (Pubitemid 27385403)
    • (1997) Analytica Chimica Acta , vol.350 , Issue.1-2 , pp. 149-161
    • Jouan-Rimbaud, D.1    Massart, D.L.2    Saby, C.A.3    Puel, C.4
  • 32
    • 0032562943 scopus 로고    scopus 로고
    • Determination of the representativity between two multidimensional data sets by a comparison of their structure
    • DOI 10.1016/S0169-7439(98)00005-7, PII S0169743998000057
    • Jouan-Rimbaud D., Massart D.L., Saby C.A., and Puel C. Determination of the representativity between two multidimensional data sets by a comparison of their structure Chemometr. Intell. Lab. 40 1998 129 144 (Pubitemid 28308087)
    • (1998) Chemometrics and Intelligent Laboratory Systems , vol.40 , Issue.2 , pp. 129-144
    • Jouan-Rimbaud, D.1    Massart, D.L.2    Saby, C.A.3    Puel, C.4
  • 34
    • 0030595050 scopus 로고    scopus 로고
    • Comparison of regularized discriminant analysis, linear discriminant analysis and quadratic discriminant analysis, applied to NIR data
    • DOI 10.1016/0003-2670(96)00142-0
    • Wu W., Mallet Y., Walczak B., Penninckx W., Massart D.L., Heurding S., and Erini F. Comparison of regularised discriminant analysis, linear discriminant analysis and quadratic discriminant analysis, applied to NIR data Anal. Chim. Acta 329 1996 257 265 (Pubitemid 26264532)
    • (1996) Analytica Chimica Acta , vol.329 , Issue.3 , pp. 257-265
    • Wu, W.1    Mallet, Y.2    Walczak, B.3    Penninckx, W.4    Massart, D.L.5    Heuerding, S.6    Erni, F.7
  • 35
    • 0002409366 scopus 로고
    • UNEQ: A disjoint modelling technique for pattern recognition based on normal distribution
    • Derde M.P., and Massart D.L. UNEQ: a disjoint modelling technique for pattern recognition based on normal distribution Anal. Chim. Acta 184 1986 33 51
    • (1986) Anal. Chim. Acta , vol.184 , pp. 33-51
    • Derde, M.P.1    Massart, D.L.2
  • 36
    • 0021333338 scopus 로고
    • Use of microcomputer for the definition of multivariate confidence regions in medical diagnosis based on clinical laboratory profiles
    • DOI 10.1016/0010-4809(84)90002-8
    • Coomans D., Broeckaert I., Derde M.P., Tassin A., Massart D.L., and Wold S. Use of a microcomputer for the definition of multivariate confidence regions in medical diagnosis bases on clinical laboratory profiles Comput. Biomed. Res. 17 1984 1 14 (Pubitemid 14165649)
    • (1984) Computers and Biomedical Research , vol.17 , Issue.1 , pp. 1-14
    • Coomans, D.1    Broeckaert, I.2    Derde, M.P.3
  • 37
    • 0000117331 scopus 로고
    • SIMCA: A method for analysing chemical data in terms of similarity and analogy
    • Wold S., and Sjostrom M. SIMCA: a method for analysing chemical data in terms of similarity and analogy ACS Sym. Ser. 52 1977 243 282
    • (1977) ACS Sym. Ser. , vol.52 , pp. 243-282
    • Wold, S.1    Sjostrom, M.2
  • 38
    • 34447501949 scopus 로고    scopus 로고
    • Hierarchical clustering of mixed data based on distance hierarchy
    • Hsu C.C., Chen C.L., and Su Y.W. Hierarchical clustering of mixed data based on distance hierarchy Inf. Sci. 177 2007 4474 4492
    • (2007) Inf. Sci. , vol.177 , pp. 4474-4492
    • Hsu, C.C.1    Chen, C.L.2    Su, Y.W.3
  • 39
    • 33646546673 scopus 로고    scopus 로고
    • A hierarchical clustering algorithm based on fuzzy graph connectedness
    • DOI 10.1016/j.fss.2006.01.001, PII S0165011406000029
    • Dong Y., Zhuang Y., Chen K., and Tai X. A hierarchical clustering algorithm based on fuzzy graph connectedness Fuzzy Sets Syst. 157 2006 1760 1774 (Pubitemid 43729501)
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.13 , pp. 1760-1774
    • Dong, Y.1    Zhuang, Y.2    Chen, K.3    Tai, X.4
  • 41
    • 72149122625 scopus 로고    scopus 로고
    • Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
    • Graves D., and Pedrycz W. Kernel-based fuzzy clustering and fuzzy clustering: a comparative experimental study Fuzzy Sets Syst. 161 2010 522 543
    • (2010) Fuzzy Sets Syst. , vol.161 , pp. 522-543
    • Graves, D.1    Pedrycz, W.2
  • 42
    • 26844546953 scopus 로고    scopus 로고
    • Image segmentation based on adaptive cluster prototype estimation
    • DOI 10.1109/TFUZZ.2004.841748
    • Liew A.W.C., Yan H., and Law N.F. Image segmentation based on adaptive cluster prototype estimation IEEE Trans. Fuzzy Syst. 13 4 2005 444 453 (Pubitemid 41461441)
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.4 , pp. 444-453
    • Liew, A.W.-C.1    Yan, H.2    Law, N.-F.3
  • 43
    • 0018729995 scopus 로고
    • A survey on image segmentation
    • Fu K.S., and Mui J.K. A survey on image segmentation Pattern Recogn. 13 1981 3 16
    • (1981) Pattern Recogn. , vol.13 , pp. 3-16
    • Fu, K.S.1    Mui, J.K.2
  • 44
    • 53749103356 scopus 로고    scopus 로고
    • Robust fuzzy clustering-based image segmentation
    • Zhang Y., Chung F.L., and Wang S.T. Robust fuzzy clustering-based image segmentation Appl. Soft. Comput. 9 2009 80 84
    • (2009) Appl. Soft. Comput. , vol.9 , pp. 80-84
    • Zhang, Y.1    Chung, F.L.2    Wang, S.T.3
  • 45
    • 75749096602 scopus 로고    scopus 로고
    • An adaptive unsupervised approach toward pixel clustering and color image segmentation
    • Yu Z.D., Au O.C., Zou R.b., Yu W.Y., and Tian J. An adaptive unsupervised approach toward pixel clustering and color image segmentation Pattern Recogn. 43 2010 1889 1906
    • (2010) Pattern Recogn. , vol.43 , pp. 1889-1906
    • Yu, Z.D.1    Au, O.C.2    R, B.Z.3    Yu, W.Y.4    Tian, J.5
  • 46
    • 79954618329 scopus 로고    scopus 로고
    • Multi-objective nature-inspired clustering and classification techniques for image segmentation
    • Bong C.W., and Rajeswari M. Multi-objective nature-inspired clustering and classification techniques for image segmentation Appl. Soft. Comput. 11 4 2011 3271 3282
    • (2011) Appl. Soft. Comput. , vol.11 , Issue.4 , pp. 3271-3282
    • Bong, C.W.1    Rajeswari, M.2
  • 47
    • 67349282991 scopus 로고    scopus 로고
    • Adaptive spatial information-theoretic clustering for image segmentation
    • Wang Z.M., Soh Y.C., Song Q., and Sim K. Adaptive spatial information-theoretic clustering for image segmentation Pattern Recogn. 42 2009 2029 2044
    • (2009) Pattern Recogn. , vol.42 , pp. 2029-2044
    • Wang, Z.M.1    Soh, Y.C.2    Song, Q.3    Sim, K.4
  • 48
    • 53749085581 scopus 로고    scopus 로고
    • Automatic image pixel clustering with an improved differential evolution
    • Das S., and Konar A. Automatic image pixel clustering with an improved differential evolution Appl. Soft. Comput. 9 2009 226 236
    • (2009) Appl. Soft. Comput. , vol.9 , pp. 226-236
    • Das, S.1    Konar, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.