Interpretable knowledge discovery from data with DC*

Marco Lucarelli, Ciro Castiello, Anna M. Fanelli, Corrado Mencar
2015 Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology   unpublished
We present DC* (Double Clustering with A*) as an information granulation method specifically suited for deriving interpretable knowledge from data. DC* is based on two main clustering stages: the first is devoted to compressing multi-dimensional data into few prototypes that grab the main relationships among data; the second is aimed at finding a proper fuzzy granulation of each input feature so that the relations among data can be linguistically described in terms of fuzzy classification
more » ... lassification rules. We applied DC* as a stage in a knowledge discovery process, aimed at finding interpretable diagnostic rules for sleep-related breathing disorders.
doi:10.2991/ifsa-eusflat-15.2015.115 fatcat:z5wojpaiyvcgtluy6r5nlrb6zy