DHARMA: Discriminant hyperplane abstracting residuals minimization algorithm for separating clusters with fuzzy boundaries

The problem of learning the discriminant hyperplanes, given imperfectly supervised training sample sets (which include unreliably labeled samples along the joint boundaries between the sample clusters), represents the topic of this study. The approach is to view the problem as the classical linear i...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 64; H. 5; S. 823 - 824
1. Verfasser:	Dasarathy, B.V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 1976
Schlagworte:	Autocorrelation Clustering algorithms Entropy Equations Filtering Frequency Minimization methods Power filters Power generation Spectral analysis
ISSN:	0018-9219
Online-Zugang:	Volltext
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