A Novel Approach to Improve the Performance of Divisive Clustering-BST-Reference-Cited by-同舟云学术

A Novel Approach to Improve the Performance of Divisive Clustering-BST

Published:2017-06-01 Issue: Volume: Page:553-562
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Praveen P.,Rama B.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3223-3_53

Reference18 articles.

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3. Langfelder, P., Zhang, B., Horvath, S.: Defining clusters from a hierarchical cluster tree: the dynamic tree cut package for r. Bioinform. Appl. Note 24(5), 719–720 (2008)

4. Ahmad, A., Dey, L.: A k-mean clustering Algorithm for mixed numeric and categorical data. Data Knowl. Eng. 63(2), 503–527 (2007)

5. Apresjan, J.D.: An algorithm for constructing clusters from a distance matrix. Mashinnyi perevod: Prikladnaja lingvistika 9, 3–18 (1966)

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