ChameleoClust+
ChameleoClust+ is an evolutionary algorithm to tackle the subspace clustering problem.
ChameleoClust+ is a bio-inspired algorithm implementing an evolvable genome structure, including several bio-like features such as a variable genome length, both functional and non-functional elements and mutation operators including chromosomal rearrangements.
The main purpose of the design of ChameleoClust+ is to take advantage of the large degree of freedom provided by its evolvable structure to detect various number of clusters in subspaces of various dimensions.
Download ChameleoClust+
ChameleoClust+ is a bio-inspired algorithm implementing an evolvable genome structure, including several bio-like features such as a variable genome length, both functional and non-functional elements and mutation operators including chromosomal rearrangements.
The main purpose of the design of ChameleoClust+ is to take advantage of the large degree of freedom provided by its evolvable structure to detect various number of clusters in subspaces of various dimensions.
Download ChameleoClust+
EvoEvo is an Information and Communication Technologies initiative funded by the European Commission under FP7.
Background image - Young Tree, 1932, Paul Klee
Background image - Young Tree, 1932, Paul Klee