HPL-2011-25 Training Set Compression by Incremental Clustering - Li, Dalong; Simske, Steven
Keyword(s): Clustering, Support vector machine, KNN, Pattern recognition, CONDENSE.
Abstract: Compression of training sets is a technique for reducing training set size without degrading classification accuracy. By reducing the size of a training set, training will be more efficient in addition to saving storage space. In this paper, an incremental clustering algorithm, the Leader algorithm, ...
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