Sample selection via clustering to construct support vector-like classifiers
نویسندگان
چکیده
منابع مشابه
Sample selection via clustering to construct support vector-like classifiers
This paper explores the possibility of constructing RBF classifiers which, somewhat like support vector machines, use a reduced number of samples as centroids, by means of selecting samples in a direct way. Because sample selection is viewed as a hard computational problem, this selection is done after a previous vector quantization: this way obtaining also other similar machines using centroid...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 1999
ISSN: 1045-9227
DOI: 10.1109/72.809092