메뉴 건너뛰기




Volumn 3861 LNCS, Issue , 2006, Pages 313-330

Hybrid minimal spanning tree and mixture of Gaussians based clustering algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; DATABASE SYSTEMS; HIERARCHICAL SYSTEMS; NUMERICAL ANALYSIS; PARAMETER ESTIMATION; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33745654747     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11663881_18     Document Type: Conference Paper
Times cited : (15)

References (25)
  • 1
    • 0014856267 scopus 로고
    • An analysis of some graph theoretical clustering techniques
    • J.G. Augustson, J. Minker, An analysis of some graph theoretical clustering techniques. J. ACM, Vol.17, 4, 571-588, 1970.
    • (1970) J. ACM , vol.17 , Issue.4 , pp. 571-588
    • Augustson, J.G.1    Minker, J.2
  • 2
    • 0000167160 scopus 로고
    • A graph-theoretic approach to goodness-of-fit in complete-link hierarchical clustering
    • F.B. Backer, L.J. Hubert, A graph-theoretic approach to goodness-of-fit in complete-link hierarchical clustering. J. Am. Stat. Assoc., Vol. 71, 870-878, 1976.
    • (1976) J. Am. Stat. Assoc. , vol.71 , pp. 870-878
    • Backer, F.B.1    Hubert, L.J.2
  • 9
    • 0023523514 scopus 로고
    • How many clusters are best? - An experiment
    • R.C. Dubes, How many clusters are best? - an experiment. Pattern Recogn., 20(6):645-663, 1987.
    • (1987) Pattern Recogn. , vol.20 , Issue.6 , pp. 645-663
    • Dubes, R.C.1
  • 10
    • 84941155240 scopus 로고
    • Well separated clusters and optimal fuzzy partitions
    • J.C. Dunn, Well separated clusters and optimal fuzzy partitions. Journal Cybernetics, 4:95-104, 1974.
    • (1974) Journal Cybernetics , vol.4 , pp. 95-104
    • Dunn, J.C.1
  • 13
    • 0037445514 scopus 로고    scopus 로고
    • A clustering procedure based on the comparsion between the k nearest neighbors graph and the minimal spanning tree
    • J.M. Gonzáles-Barrios and A.J. Quiroz, A clustering procedure based on the comparsion between the k nearest neighbors graph and the minimal spanning tree. In Statistics & Probability Letter, 62:23-34, 2003.
    • (2003) Statistics & Probability Letter , vol.62 , pp. 23-34
    • Gonzáles-Barrios, J.M.1    Quiroz, A.J.2
  • 14
    • 0000325564 scopus 로고
    • Semantic clustering of index terms
    • C.C. Gotlieb, S. Kumar, Semantic Clustering of Index Terms. J. ACM, 15(4):493-513, 1968.
    • (1968) J. ACM , vol.15 , Issue.4 , pp. 493-513
    • Gotlieb, C.C.1    Kumar, S.2
  • 15
    • 0001120850 scopus 로고
    • Minimal spanning trees and single linkage cluster analysis
    • J.C. Gower, G. J.S. Ross, Minimal Spanning Trees and Single Linkage Cluster Analysis. Applied Statistics, Vol. 18, 54-64, 1969.
    • (1969) Applied Statistics , vol.18 , pp. 54-64
    • Gower, J.C.1    Ross, G.J.S.2
  • 16
    • 0038545418 scopus 로고    scopus 로고
    • Identification of Web user traffic composition using multimodal clustering and information scent
    • Chicago, IL
    • J. Heer and E. Chi, Identification of Web user traffic composition using multimodal clustering and information scent. 1st SIAM ICDM, Workshop on Web Mining, Chicago, IL., 51-58, 2001.
    • (2001) 1st SIAM ICDM, Workshop on Web Mining , pp. 51-58
    • Heer, J.1    Chi, E.2
  • 18
    • 70350674995 scopus 로고
    • On the shortest spanning subtree of a graph and the traveling salesman problem
    • J.B. Kruskal, On the shortest spanning subtree of a graph and the traveling salesman problem. In American Mathematical Society, 7:48-50, 1956.
    • (1956) American Mathematical Society , vol.7 , pp. 48-50
    • Kruskal, J.B.1
  • 19
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-Hill, Inc., New York, NY
    • T. Mitchell, Machine Learning. McGraw-Hill, Inc., New York, NY, 1997.
    • (1997) Machine Learning
    • Mitchell, T.1
  • 20
    • 17444425373 scopus 로고    scopus 로고
    • Clustering with a minimum spanning tree of scale-free-like structure
    • N. Päivinen, Clustering with a minimum spanning tree of scale-free-like structure. In Pattern Recognition Letters, 26(7):921-930, 2005.
    • (2005) Pattern Recognition Letters , vol.26 , Issue.7 , pp. 921-930
    • Päivinen, N.1
  • 21
    • 84911584312 scopus 로고
    • Shortest connection networks and some generalizations
    • R. Prim, Shortest connection networks and some generalizations. Bell System Technical Journal, 36:1389-1401, 1957.
    • (1957) Bell System Technical Journal , vol.36 , pp. 1389-1401
    • Prim, R.1
  • 22
    • 0019595321 scopus 로고
    • A comparison of the stability characteristics of some graph theoretic clustering methods
    • V.V. Raghavan, C.T. Yu, A comparison of the stability characteristics of some graph theoretic clustering methods. IEEE Trans. Pattern Anal. Mach. Intell., 3, 3-402, 1981.
    • (1981) IEEE Trans. Pattern Anal. Mach. Intell. , vol.3 , pp. 3-402
    • Raghavan, V.V.1    Yu, C.T.2
  • 23
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications
    • J. Sander, M. Ester, H.-P. Kriegel, X. Xu, Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications. In Data Mining and Knowledge Discovery, 2, 2, 169-194, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.-P.3    Xu, X.4
  • 24
    • 13244258381 scopus 로고    scopus 로고
    • Iterative class discovery and feature selection using minimal spanning trees
    • S. Varma, R. Simon, Iterative class discovery and feature selection using Minimal Spanning Trees. BMC Bioinformatics, 5:126-134, 2004.
    • (2004) BMC Bioinformatics , vol.5 , pp. 126-134
    • Varma, S.1    Simon, R.2
  • 25
    • 0014976008 scopus 로고
    • Graph-theoretical methods for detecting and describing gestalt clusters
    • C.T. Zahn, Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Transaction on Computers C20:68-86, 1971.
    • (1971) IEEE Transaction on Computers , vol.C20 , pp. 68-86
    • Zahn, C.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.