The lecture, Institute for Web Science and Technologies, University of Koblenz-Landau, Germany, Dr. Zeyd Boukhers, 2019, 72 p.
Data dimension reduction.
Principal component analysis.
Singular value decomposition.
Clustering.
Unsupervised learning.
Evaluate clusters.
Intrinsic and extrinsic evaluation measures.
How K-mean works.
Choosing K.
EM algorithm.