Distance based Incremental Clustering for Mining Clusters of Arbitrary Shapes-Reference-Cited by-同舟云学术

Distance based Incremental Clustering for Mining Clusters of Arbitrary Shapes

Published:2013 Issue: Volume: Page:229-236
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Patra Bidyut Kr.,Ville Ollikainen,Launonen Raimo,Nandi Sukumar,Babu Korra Sathya

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-45062-4_31

Reference18 articles.

1. Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Proceedings of 2nd ACM SIGKDD, pp. 226–231 (1996)

2. Sneath, A., Sokal, P.H.: Numerical Taxonomy. Freeman, London (1973)

3. Jain, A.K.: Data clustering: 50 years beyond k-means. Pattern Recognition Letters 31(8), 651–666 (2010)

4. Patra, B.K.: Mining Arbitrary Shaped Clusters in Large Dataset. PhD thesis, Indian Institute of Technology Guwahati, Guwahati, INDIA (2012)

5. Murty, M.N., Krishna, G.: A hybrid clustering procedure for concentric and chain-like clusters. Int. J. Comput. Inform. Sci. 10(6), 397–412 (1981)

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