Iterative meta-clustering through granular hierarchy of supermarket customers and products
Proposed a novel iterative meta-clustering technique. Two clustering schemes evolve in parallel influencing each other recursively. Demonstrated using retail store customers and products. Static representation using information from the database. Dynamic representation using information from previous clustering.
meta-clustering granular computing iterative clustering k-means