'Parzen window' presentation slideshows

Outline

Outline. Nonparametric Techniques Density Estimation Histogram Approach Parzen-window method K n -Nearest-Neighbor Estimation Component Analysis and Discriminants Principal Components Analysis Fisher Linear Discriminant MDA. NONPARAMETRIC TECHNIQUES.

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Lecture 3 Nonparametric density estimation and classification

Lecture 3 Nonparametric density estimation and classification. Density estimation Histogram The box kernel -- Parzen window K-nearest neighbor. Density estimation. Classification can be based on estimating the density for each of the classes. From a set of observed random vectors,

326 views • 32 slides

Nonparametric density estimation and classification

Nonparametric density estimation and classification. Density estimation Histogram The box kernel -- Parzen window K-nearest neighbor. Density estimation. Classification can be based on estimating the density for each of the classes. From a set of observed random vectors,

333 views • 32 slides

Non-Parametric Learning

351 views • 17 slides