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AHIMSA - Ad hoc histogram information measure sensing algorithm for feature selection in the context of histogram inspired clustering techniquesAn algorithm is proposed for dimensionality reduction in the context of clustering techniques based on histogram analysis. The approach is based on an evaluation of the hills and valleys in the unidimensional histograms along the different features and provides an economical means of assessing the significance of the features in a nonparametric unsupervised data environment. The method has relevance to remote sensing applications.
Document ID
19760063823
Document Type
Reprint (Version printed in journal)
Authors
Dasarathy, B. V. (Computer Sciences Corp. Huntsville, Ala., United States)
Date Acquired
August 8, 2013
Publication Date
September 1, 1976
Publication Information
Publication: IEEE
Subject Category
CYBERNETICS
Funding Number(s)
CONTRACT_GRANT: NAS8-31639
Distribution Limits
Public
Copyright
Other