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CJ
1998

Least-Squares Structuring, Clustering and Data Processing Issues

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Least-Squares Structuring, Clustering and Data Processing Issues
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not only a mathematical device to support, specify and extend many clustering techniques, but also a framework for mathematical analysis of interrelations among the techniques and their relations to other concepts and problems in data analysis, statistics, machine learning, data compression and decompression, and design and use of multiresolution hierarchies. Based on the results found, a number of methods for solving data processing problems are described. Contents
Boris Mirkin
Added 21 Dec 2010
Updated 21 Dec 2010
Type Journal
Year 1998
Where CJ
Authors Boris Mirkin
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