Abstract

This lecture overviews Dimensionality Reduction that has many applications in object clusring and object recognition.  It covers the following topics in detail: Feature selection. Principal Component Analysis. Linear Discriminant Analysis. SVD Data Compression. Multidimensional Scaling. Non-negative matrix factorization, Learning Vector Quantization.

Principal Component Analysis.

Eigenfaces.

Earth cartography using MDS and Harvesine distance.

Dimensionality-Reduction-v2.8-Summary