A novel ant-based clustering algorithm using Renyi entropy

► 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.