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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Bibliographic Details

Published in:	Proceedings of the IEEE Vol. 64; no. 5; pp. 823 - 824
Main Author:	Dasarathy, B.V.
Format:	Journal Article
Language:	English
Published:	IEEE 1976
Subjects:	Autocorrelation Clustering algorithms Entropy Equations Filtering Frequency Minimization methods Power filters Power generation Spectral analysis
ISSN:	0018-9219
Online Access:	Get full text
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