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- W2185136587 abstract "Clustering is more subjective work than classification and regression. Though classification and regression have many general validation measures, clustering has few validation measures. Also, it is difficult to develop general measure of cluster validation. So, many evaluation measures have been published for cluster validation. In this paper, we propose an ensemble method of validation for cluster analysis. We use voting approach to some validation measures of cluster analysis. To verify our improved performance, we make experiments by some objective data sets from UCI machine learning repository." @default.
- W2185136587 created "2016-06-24" @default.
- W2185136587 creator A5016293435 @default.
- W2185136587 date "2011-01-01" @default.
- W2185136587 modified "2023-09-23" @default.
- W2185136587 title "An Ensemble Method for Validation of Cluster Analysis" @default.
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