2 papers
cs.LG2021
Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and -MOCK
Adriano Kultzak, Cristina Y. Morimoto, Aurora Pozo +1
We present a data-driven analysis of MOCK, -MOCK, and MOCLE. These are three closely related approaches that use multi-objective optimization for crisp clustering. More specific…
cs.LG2018
How Complex is your classification problem? A survey on measuring classification complexity
Ana C. Lorena, Luís P. F. Garcia, Jens Lehmann +2
Characteristics extracted from the training datasets of classification problems have proven to be effective predictors in a number of meta-analyses. Among them, measures of classif…