메뉴 건너뛰기




Volumn 6, Issue 2, 2005, Pages 143-151

A cluster ensemble method for clustering categorical data

Author keywords

Categorical data; Cluster ensemble; Clustering; Data mining

Indexed keywords

ALGORITHMS; COMPUTER SCIENCE; DATABASE SYSTEMS; OPTIMIZATION; PROBLEM SOLVING;

EID: 13444273324     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2004.03.001     Document Type: Conference Paper
Times cited : (75)

References (36)
  • 1
    • 0036522832 scopus 로고    scopus 로고
    • 3D object recognition using Bayesian geometric hashing and pose clustering
    • Sehgal A., Desai U.B. 3D object recognition using Bayesian geometric hashing and pose clustering. Pattern Recognition. 36(3):2003;765-780
    • (2003) Pattern Recognition , vol.36 , Issue.3 , pp. 765-780
    • Sehgal, A.1    Desai, U.B.2
  • 3
    • 0038294436 scopus 로고    scopus 로고
    • CSVD: Clustering and singular value decomposition for approximate similarity search in high-dimensional spaces
    • Castelli V., Thomasian A., Li C.-S. CSVD: clustering and singular value decomposition for approximate similarity search in high-dimensional spaces. IEEE Transactions on Knowledge and Data Engineering. 15(3):2003;671-685
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , Issue.3 , pp. 671-685
    • Castelli, V.1    Thomasian, A.2    Li, C.-S.3
  • 6
    • 0002318328 scopus 로고    scopus 로고
    • Clustering categorical data: An approach based on dynamic systems
    • D. Gibson, J. Kleiberg, P. Raghavan, Clustering categorical data: an approach based on dynamic systems, in: Proc. of VLDB'98, 1998, pp. 311-323
    • (1998) Proc. of VLDB'98 , pp. 311-323
    • Gibson, D.1    Kleiberg, J.2    Raghavan, P.3
  • 9
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Huang Z. Extensions to the. k -means algorithm for clustering large data sets with categorical values Data Mining and Knowledge Discovery. 2(3):1998;283-304
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 10
    • 84945314569 scopus 로고    scopus 로고
    • Clustering large categorical data
    • F. Jollois, M. Nadif, Clustering large categorical data, in: Proc. of PAKDD'02, 2002, pp. 257-263
    • (2002) Proc. of PAKDD'02 , pp. 257-263
    • Jollois, F.1    Nadif, M.2
  • 11
    • 0032595161 scopus 로고    scopus 로고
    • A fuzzy k-modes algorithm for clustering categorical data
    • Huang Z., Ng M.K. A fuzzy. k -modes algorithm for clustering categorical data IEEE Transaction on Fuzzy Systems. 7(4):1999;446-452
    • (1999) IEEE Transaction on Fuzzy Systems , vol.7 , Issue.4 , pp. 446-452
    • Huang, Z.1    Ng, M.K.2
  • 12
    • 0036887530 scopus 로고    scopus 로고
    • Clustering categorical data sets using tabu search techniques
    • Ng M.K., Wong J.C. Clustering categorical data sets using tabu search techniques. Pattern Recognition. 35(12):2002;2783-2790
    • (2002) Pattern Recognition , vol.35 , Issue.12 , pp. 2783-2790
    • Ng, M.K.1    Wong, J.C.2
  • 13
    • 0036567251 scopus 로고    scopus 로고
    • An iterative initial-points refinement algorithm for categorical data clustering
    • Sun Y., Zhu Q., Chen Z. An iterative initial-points refinement algorithm for categorical data clustering. Pattern Recognition Letters. 23(7):2002;875-884
    • (2002) Pattern Recognition Letters , vol.23 , Issue.7 , pp. 875-884
    • Sun, Y.1    Zhu, Q.2    Chen, Z.3
  • 14
    • 0002161595 scopus 로고    scopus 로고
    • CACTUS-clustering categorical data using summaries
    • V. Ganti, J. Gehrke, R. Ramakrishnan, CACTUS-clustering categorical data using summaries, in: Proc. of KDD'99, 1999, pp. 73-83
    • (1999) Proc. of KDD'99 , pp. 73-83
    • Ganti, V.1    Gehrke, J.2    Ramakrishnan, R.3
  • 15
    • 0032652570 scopus 로고    scopus 로고
    • ROCK: A robust clustering algorithm for categorical attributes
    • S. Guha, R. Rastogi, K. Shim, ROCK: a robust clustering algorithm for categorical attributes, in: Proc. of ICDE'99, 1999, pp. 512-521
    • (1999) Proc. of ICDE'99 , pp. 512-521
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 16
    • 0033279070 scopus 로고    scopus 로고
    • Clustering transactions using large items
    • K. Wang, C. Xu, B. Liu, Clustering transactions using large items, in: Proc. of CIKM'99, 1999, pp. 483-490
    • (1999) Proc. of CIKM'99 , pp. 483-490
    • Wang, K.1    Xu, C.2    Liu, B.3
  • 17
    • 0035169515 scopus 로고    scopus 로고
    • An efficient clustering algorithm for market basket data based on small large ratios
    • C.H. Yun, K.T. Chuang, M.S. Chen, An efficient clustering algorithm for market basket data based on small large ratios, in: Proc. of COMPSAC'01, 2001, pp. 505-510
    • (2001) Proc. of COMPSAC'01 , pp. 505-510
    • Yun, C.H.1    Chuang, K.T.2    Chen, M.S.3
  • 18
    • 13444303743 scopus 로고    scopus 로고
    • Using category based adherence to cluster market-basket data
    • C.H. Yun, K.T. Chuang, M.S. Chen, Using category based adherence to cluster market-basket data, in: Proc. of ICDM'02, 2002, pp. 546-553
    • (2002) Proc. of ICDM'02 , pp. 546-553
    • Yun, C.H.1    Chuang, K.T.2    Chen, M.S.3
  • 19
    • 13444268851 scopus 로고    scopus 로고
    • Caucus-based transaction clustering
    • J. Xu, S.Y. Sung, Caucus-based transaction clustering, in: Proc. of DASFAA'03, 2003, pp. 81-88
    • (2003) Proc. of DASFAA'03 , pp. 81-88
    • Xu, J.1    Sung, S.Y.2
  • 20
    • 0036740348 scopus 로고    scopus 로고
    • Squeezer: An efficient algorithm for clustering categorical data
    • He Z., Xu X., Deng S. Squeezer: an efficient algorithm for clustering categorical data. Journal of Computer Science and Technology. 17(5):2002;611-624
    • (2002) Journal of Computer Science and Technology , vol.17 , Issue.5 , pp. 611-624
    • He, Z.1    Xu, X.2    Deng, S.3
  • 21
    • 0038494682 scopus 로고    scopus 로고
    • COOLCAT: An entropy-based algorithm for categorical clustering
    • D. Barbara, Y. Li, J. Couto, COOLCAT: an entropy-based algorithm for categorical clustering, in: Proc. of CIKM'02, 2002, pp. 582-589
    • (2002) Proc. of CIKM'02 , pp. 582-589
    • Barbara, D.1    Li, Y.2    Couto, J.3
  • 22
    • 0242540410 scopus 로고    scopus 로고
    • CLOPE: A fast and effective clustering algorithm for transactional data
    • Y. Yang, S. Guan, J. You, CLOPE: a fast and effective clustering algorithm for transactional data, in: Proc. of KDD'02, 2002, pp. 682-687
    • (2002) Proc. of KDD'02 , pp. 682-687
    • Yang, Y.1    Guan, S.2    You, J.3
  • 24
    • 13444283223 scopus 로고    scopus 로고
    • Finding median partitions using information-theoretical-based genetic algorithms
    • Cristofor D., Simovici D. Finding median partitions using information-theoretical-based genetic algorithms. Journal of Universal Computer Science. 8(2):2002;153-172
    • (2002) Journal of Universal Computer Science , vol.8 , Issue.2 , pp. 153-172
    • Cristofor, D.1    Simovici, D.2
  • 29
    • 7444258544 scopus 로고    scopus 로고
    • A method for aggregating partitions, applications in KDD
    • P.-E. Jouve, N. Nicoloyannis, A method for aggregating partitions, applications in KDD, in: Proc. of PAKDD'03, 2003, pp. 411-422
    • (2003) Proc. of PAKDD'03 , pp. 411-422
    • Jouve, P.-E.1    Nicoloyannis, N.2
  • 30
    • 13444252181 scopus 로고    scopus 로고
    • An adaptive meta-clustering approach: Combining the information from different clustering results
    • Y. Zeng, J. Tang, J. Garcia-Frias, G. Gao, An adaptive meta-clustering approach: combining the information from different clustering results, in: Proc. of CSB'02, 2002, pp. 276-287
    • (2002) Proc. of CSB'02 , pp. 276-287
    • Zeng, Y.1    Tang, J.2    Garcia-Frias, J.3    Gao, G.4
  • 32
    • 0032131147 scopus 로고    scopus 로고
    • A fast and high quality multilevel scheme for partitioning irregular graphs
    • Karpis G., Kumar V. A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM Journal of Scientific Computing. 20(1):1998;359-392
    • (1998) SIAM Journal of Scientific Computing , vol.20 , Issue.1 , pp. 359-392
    • Karpis, G.1    Kumar, V.2
  • 36
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Strehl A., Ghosh J. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research. 3:2002;583-617
    • (2002) Journal on Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.