Back
Ioannis Pitas (AUTH)
Author/s
About the resource/s
This lecture overviews Graph-Based Pattern Recognition that has many applications in data clustering and dimensionality reduction. It covers the following topics in detail: Graph-based Clustering, Locality Preserving Projections, Locally Linear Embedding, ISOMAP, Laplacian Embedding, Linear Discriminant Analysis, Marginal Fisher Analysis, Local Fisher Discriminant Analysis, Semi-supervised Discriminant Analysis, Laplacian Support Vector Machines.
Should you require access to the resource, please contact the author directly.
Other Sources
