On cluster validity for fuzzy clustering of incomplete data

Authors:
Ludmila Himmelspach;João Paulo Carvalho;Stefan Conrad
Affiliations:
Institute of Computer Science, Heinrich-Heine-Universität Düsseldorf, Germany;INESC-ID, TULisbon - Instituto Superior Técnico, Lisbon, Portugal;Institute of Computer Science, Heinrich-Heine-Universität Düsseldorf, Germany
Venue:
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Year:
2012

Citing 3
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Abstract

In this study, we address the problem of finding the optimal number of clusters on incomplete data using cluster validity functions. Experiments were performed on different data sets in order to analyze to what extent cluster validity indices adapted to incomplete data can be used for validation of clustering results. Moreover we analyze which fuzzy clustering algorithm for incomplete data produces better partitioning results for cluster validity.