PARAMETER SET DETERMINATION FOR CLUSTERING OF DATASETS

A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items. Dataset Hyper-optimized 102 clustering engine 41 100 Parameter Cluster module parameter module 120 sets 130 Random 104 selection module generation 12 2 module fitness Parameter scores Cluster generation 105 evaluation module module Hyper- optimized parameter set IOutput module 140 Hyper- optimized cluster solution