Non-Parametric Estimation - Introduction to Pattern Recognition - Lecture Slides, Slides for Advanced Algorithms. West Bengal State University

Advanced Algorithms

Description: The main points are:Non-Parametric Estimation, Density Functions, Kernel-Density Estimate, Parzen Window, Unit Hypercube, Data Points Falling, Kind of Generalization, Erecting Bins, D-Dimensional Gaussian Density, Gaussian Kernel
Showing pages  1  -  4  of  130
Recap
We are discussing non-parametric estimation of
density functions.
PR NPTEL course – p.1/130
Recap
We are discussing non-parametric estimation of
density functions.
Here we do not assume any form for the density
function.
PR NPTEL course – p.2/130
Recap
We are discussing non-parametric estimation of
density functions.
Here we do not assume any form for the density
function.
The basic idea is to estimate the density by
ˆ
f(x) = k
n V
where Vis the volume of a small region around xin
which kout of the ndata samples are found.
PR NPTEL course – p.3/130
The choice of size of Vis critical for getting good
estimates.
PR NPTEL course – p.4/130
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