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In this paper a hierarchical structure is proposed for automatic gender identification (AGI). In this structure two clustering techniques are used. The first technique is divisive clustering for dividing speakers from each gender to some classes of speakers. The second clustering technique is agglomerative clustering for creating a hierarchical structure. Feature reduction is done by SOAP feature...
Speeches delivered in the French Parliament by deputies and government members are analysed, similarities between individuals are induced by the word corpus used, and finally deputies are grouped through hierarchical clustering. Similarity measures between political individuals are compared on a classification task: assigning a party to each actor. Finally, this analysis lead to a new organisation...
Cluster ensembles method is considered as a robust and accurate alternative to single clustering runs. It mainly consists of both generation of individual member and fusion methods. In this paper, we study the cluster ensembles where individual members are obtained based on k-means clustering algorithm and fusion method of hierarchical clustering is used. Three consensus functions, which are single...
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