Lectures related to Entity Resolution: Techniques and Applications

Related lectures (32)

Explores centroid, medoid, homogeneity, separability in clustering, quality evaluation, stability, expert knowledge, and clustering algorithms.

Introduces the kernel k-means method to form non-convex clusters and discusses clustering by density to identify dense regions in datasets.