Agglomerative Clustering - Amelio, Alessia
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This book presents an agglomerative clustering method modelling the data as a graph. An evolutionary algorithm is employed on the graph for finding the components which represent a first level clustering. Then, an agglomerative procedure is used for refining the first solution, achieving a noticeable improvement in the final solution. A case study is proposed for testing the method, which is the discrimination of text documents according to different languages. An experiment shows that this method is quite promising in discriminating among the documents in the different languages.

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Produktbeschreibung
This book presents an agglomerative clustering method modelling the data as a graph. An evolutionary algorithm is employed on the graph for finding the components which represent a first level clustering. Then, an agglomerative procedure is used for refining the first solution, achieving a noticeable improvement in the final solution. A case study is proposed for testing the method, which is the discrimination of text documents according to different languages. An experiment shows that this method is quite promising in discriminating among the documents in the different languages.
Autorenporträt
Alessia Amelio has served as research fellow at DIMES, University of Calabria. She is co-author of more than 100 papers in machine learning and pattern recognition. She has served as editorial board member of various journals and co-organizer of scientific events. Her research interests have included pattern recognition and artificial intelligence.