On Cluster Validation for Detecting the Number of Clusters in a Data Set

In this paper, the authors analyze different techniques for cluster validation to detect the number of clusters in a dataset and introduce a new combination approach to cluster validation. The proposed algorithm is a combination of several validation indexes, which are used to simultaneously evaluate different partitions of a dataset generated with different clustering techniques and object distances. The term "Cluster analysis" refers to the framework of algorithms used to capture the underlying group structure of unlabelled data sets.

Provided by: World Scientific Publishing Topic: Software Date Added: Apr 2011 Format: PDF

Find By Topic