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Mean shift for finding modes

by Soumitry J Ray

 

19 Nov 2012 (Updated 27 Nov 2012)

The submission finds modes in data. Data is generated from a mixture of gaussian with added outliers

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Description

Run plotModes() to see result.
Note: 40% generated data is added outlier.

Correction:
In findModes.m, go to kernelized_weights() function and replace:
euclidean_dist = sum(offset.*offset,2) .* inv_bandwidth_sq;

with:
euclidean_dist = sum(offset.*offset,2);

MATLAB release MATLAB 8.0 (R2012b)
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computer vision, data mining, find modes, find peaks, mean shift
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19 Nov 2012 Soumitry J Ray

Correction:
In findModes.m, go to kernelized_weights() function and replace:
euclidean_dist = sum(offset.*offset,2) .* inv_bandwidth_sq;

with:
euclidean_dist = sum(offset.*offset,2);

Updates
27 Nov 2012

Description change

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