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Matching (and Analyzing) Using Principal Component Analysis

, 26 Sep 2009 MIT
PCA is a well known algorithm to extract features from multidimentional datasets. Using a library I wrote, this is made easy.



This article, along with any associated source code and files, is licensed under The MIT License


About the Author

Software Developer
Israel Israel
A student for a first degree (BSC) in Computer Science.
Working as software developer in a local software company.

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