Non parametric local density-based clustering for multimodal overlapping distributions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4224 LNCS, Issue , 2006, Pages 671-678

  Pascual, Damaris ^a   Pla, Filiberto ^b   Salvador Sanchez J ^b  

^a UNIVERSIDAD DE ORIENTE   (Cuba)

^b UNIVERSITAT JAUME I   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; DATABASE SYSTEMS; HEURISTIC METHODS; HIERARCHICAL SYSTEMS;

CLUSTER DISTANCES; CLUSTER DISTRIBUTIONS; MERGING CLUSTERS; MULTIMODAL OVERLAPPING DISTRIBUTIONS;

ALGORITHMS;

EID: 33750547992     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11875581_81     Document Type: Conference Paper

References (8)

1. Ester, M.; Kriegel, H. P.; Sander, J. and Xu, X.; A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc. of the second International Conference on Knowledge Discovery and Data Mining, Portland, (1996) 226-231.
2. Ertöz, L.; Steinbach, M. and Kumar V.: Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. In Proceedings of Third SIAM International Conference on Data Mining, (2003).
3. Figueiredo, M. and Jain, A.K.; Unsupervised Learning of Mixture Models, IEEE Trans. on PAMI, Vol 24, No 3 (2002) 381-396.
4. Fred A. L. and Leitao J.: A New Cluster Isolation Criterion Based on Dissimilarity Increments. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol 25, No 8, (2003) 944-958.
5. Guha, S.; Rastogi, R. and Shim, K.; CURE: An Efficient Clustering Algorithm for Large Databases. In Proceedings of ACM SIGMOD International Conference on Management of Data,. ACM, New York, (1998) 73-84.
6. Hinneburg A. and Keim D.A.: An efficient Approach to Clustering in Large Multimedia Databases with Noise. In Proc. of the ACM SIGKDD, (1998).
7. Karypis, G.; Han, E.H. and Kumar, V.; Chameleon: A Hierarchical Clustering Algorithm Using Dynamic Modeling. In the IEEE Computer Society. Vol 32, No 8 (1999) 68-75.
8. Tran T. N., Wehrens R. and Buydens L.M.C.: Knn Density-Based Clustering for High Dimensional Multispectral Images. Analytica Chimica Acta 490 (2003) 303-312.