Article ID Journal Published Year Pages File Type
495955 Applied Soft Computing 2013 15 Pages PDF
Abstract
► Kernel Entropy Component Analysis is applied to modify the random projection of objects. ► An ant movement model is governed by the change of Renyi entropy. ► The theoretical analysis is conducted to explain entropy advantage by kernel method. ► The Friedman test and Nemenyi test are applied to compare the algorithms' performance.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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A novel ant-based clustering algorithm using Renyi entropy
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