A new parallel data geometry analysis algorithm to select training data for support vector machine

Support vector machine (SVM) is one of the most powerful technologies of machine learning, which has been widely concerned because of its remarkable performance. However, when dealing with the classification problem of large-scale datasets, the high complexity of SVM model leads to low efficiency an...

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Veröffentlicht in:	AIMS mathematics Jg. 6; H. 12; S. 13931 - 13953
Hauptverfasser:	Shi, Yunfeng, Lv, Shu, Shi, Kaibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	AIMS Press 01.01.2021
Schlagworte:	geometry analysis mahalanobis distance parallel sample reduction support vector machine
ISSN:	2473-6988, 2473-6988
Online-Zugang:	Volltext
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