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TU Berlin

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Studentische Abschlussarbeiten

Clustering Methods for Automatic Summarization of Video Sequences
Zitatschlüssel 1233Ashfaq2009
Autor Mohammed Ashfaq
Jahr 2009
Monat dec
Schule Technische Universität Berlin
Zusammenfassung The fundamental problem to assess the performance of clustering algorithms on visual similarity for high dimensional data set is discussed. The Main motivation of the thesis is not only to assess the performance of clustering algorithms on visual similarity but also to find the best distance measures used for clustering data. The clustering algorithms are K-means, spectral clustering and affinity propagation. In this thesis an effort has been made to assess the performance of these clustering algorithms.
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