clustersis
Clustersis is a clustering framework used in data analysis to identify groups in complex data sets. It combines density-based ideas, which detect high-density regions, with centroid- or prototype-based ideas that emphasize global cohesion. The resulting method handles clusters of irregular shape and varying size in high-dimensional spaces.
Origin and terminology: The term clustersis was introduced to describe this integrated approach in clustering literature.
Method: Clustersis typically estimates a local density for each point and assigns points to clusters by minimizing
Variants and implementation: Variants include clustersis-DBSCAN hybrids that use a density radius and clustersis-HAC hybrids that
Applications and evaluation: Clustersis has been applied to genomics, image segmentation, text clustering, and market research.