Pattern Recognition
- 961 pages
- 34 hours of reading
Classifiers based o Bayes decision theory -- Linear classifiers -- Nonlinear classifiers -- Feature selection -- Feature generation I: data transformation and dimensionality reduction -- Feature generation II -- Template matching -- Context-dependent classification -- Supervised learning: the epilogue -- Clustering: basic concepts -- Clustering algorithms I: sequential algorithms -- Clustering algorithms II: hierarchical algorithms -- Clustering algorithms III: schemes based on function optimization --Cluster algorithms IV -- Cluster validity
