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What is Mixed Data Clustering via FSICCM Method about?

This paper introduces a novel clustering method called Feature Space Instance Cluster Closeness Metric (FSICCM) designed to effectively handle mixed datasets containing both numerical and categorical features. The proposed method addresses limitations of existing clustering algorithms by utilizing a feature-weighted approach and a penalized competitive training process to automatically determine the number of clusters without prior input. Experimental results demonstrate that FSICCM outperforms several stat

Author

thomaslee4030

Language

EN