Rong Wu PhD Candidate

Clustering with Missing Values: No Imputation Required

The original algorithm was developed by Dr. Kiri Wagstaff, which was published here. Wagstaff (2004) proposes K-means with Soft Constraints (KSC), a variant of k-means that handles missing values without imputation by using fully observed features for clustering and partially observed features to generate soft pairwise constraints. We simulate... Read more