A bottom-up clustering algorithm can be used to extend a state-of-the-art method to partition datasets in groups of complex data. The algorithm has been applied to discriminate between documents in different languages and scripts.
A Bottom-up Strategy for Clustering Complex Datasets with Application to Language and Script Discrimination
Amelio, A
2015-01-01
Abstract
A bottom-up clustering algorithm can be used to extend a state-of-the-art method to partition datasets in groups of complex data. The algorithm has been applied to discriminate between documents in different languages and scripts.File in questo prodotto:
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