TY - JOUR
T1 - A general framework for mixed and incomplete data clustering based on swarm intelligence algorithms
AU - Villuendas-Rey, Yenny
AU - Barroso-Cubas, Eley
AU - Camacho-Nieto, Oscar
AU - Yáñez-Márquez, Cornelio
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Swarm intelligence has appeared as an active field for solving numerous machine-learning tasks. In this paper, we address the problem of clustering data with missing values, where the patterns are described by mixed (or hybrid) features. We introduce a generic modification to three swarm intelligence algorithms (Artificial Bee Colony, Firefly Algorithm, and Novel Bat Algorithm). We experimentally obtain the adequate values of the parameters for these three modified algorithms, with the purpose of applying them in the clustering task. We also provide an unbiased comparison among several metaheuristics based clustering algorithms, concluding that the clusters obtained by our proposals are highly representative of the “natural structure” of data.
AB - Swarm intelligence has appeared as an active field for solving numerous machine-learning tasks. In this paper, we address the problem of clustering data with missing values, where the patterns are described by mixed (or hybrid) features. We introduce a generic modification to three swarm intelligence algorithms (Artificial Bee Colony, Firefly Algorithm, and Novel Bat Algorithm). We experimentally obtain the adequate values of the parameters for these three modified algorithms, with the purpose of applying them in the clustering task. We also provide an unbiased comparison among several metaheuristics based clustering algorithms, concluding that the clusters obtained by our proposals are highly representative of the “natural structure” of data.
KW - Artificial bee colony
KW - Clustering
KW - Firefly algorithm
KW - Mixed and incomplete data
KW - Novel bat algorithm
UR - http://www.scopus.com/inward/record.url?scp=85104254998&partnerID=8YFLogxK
U2 - 10.3390/math9070786
DO - 10.3390/math9070786
M3 - Artículo
AN - SCOPUS:85104254998
SN - 2227-7390
VL - 9
JO - Mathematics
JF - Mathematics
IS - 7
M1 - 786
ER -