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.
