'Which d p c' presentation slideshows

Data reduction for weighted and outlier-resistant clustering

Data reduction for weighted and outlier-resistant clustering. Leonard J. Schulman Caltech joint with Dan Feldman MIT. Talk outline. Clustering-type problems: k-median weighted k-median k-median with m outliers (small m) k-median with penalty (clustering with many outliers)

339 views • 33 slides