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A New Hierarchical Hybrid Clustering Method(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2003年01期
Page:
22-25
Research Field:
Publishing date:

Info

Title:
A New Hierarchical Hybrid Clustering Method
Author(s):
Ma Baoping
Department of Control Science and Engineering, Nanjing Normal University, 210042, Nanjing, PRC
Keywords:
clustering;  sel-f organizing neural network;  entropy
PACS:
O235
DOI:
-
Abstract:
A new hierarchical hybrid clustering method is proposed to overcome the disadvantage of fuzzy clustering algorithm. By adopting the method, with the sel-f organizing network used to have the preliminary acquisition of the character of data, the data was then clustered by using an algorithm based on entropy. As a result, the efficiency and validity of clustering can be enhanced.

References:

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Last Update: 2013-04-29