TY  - JOUR
T1  - A harmony search algorithm for clustering with feature selection
JO  - Rev. Fac. Ing. Univ. Antioquia
VL  - 55
IS  - 
SP  - 153
EP  - 164
PY  - 2010/9/1/
T2  - Un algoritmo de búsqueda armónica para clustering con selección de características
AU  - Cobos, Carlos
AU  - León, Elizabeth
AU  - Mendoza, Martha
SN  - 0120-6230
M3  - 
UR  - http://jaibana.udea.edu.co/grupos/revista/revistas/nro055/Articulo%2016.pdf
KW  - harmony search
KW  - clustering
KW  - feature selection
AB  - 
This paper presents a new clustering algorithm, called IHSK, with feature selection in a linear order of complexity. The algorithm is based on the combination of the harmony search and K-means algorithms. Feature selection uses both the concept of variability and a heuristic method that penalizes the presence of dimensions with a low probability of contributing to the current solution. The algorithm was tested with sets of synthetic and real data, obtaining promising results.
ER  -