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Discriminant analysis and statistical pattern

Discriminant analysis and statistical pattern recognition by Geoffrey J. McLachlan

Discriminant analysis and statistical pattern recognition



Download Discriminant analysis and statistical pattern recognition




Discriminant analysis and statistical pattern recognition Geoffrey J. McLachlan ebook
Page: 544
ISBN: 0471615315, 9780471615316
Publisher: Wiley-Interscience
Format: djvu


Significant progress has been made towards the clinical application of human-machine interfaces (HMIs) based on electromyographic (EMG) pattern recognition for various rehabilitation purposes. The pattern recognition algorithm presented in this paper is a non parametric statistical pattern recognition algorithm base on a constrained k-means algorithm (Gordon, 1999). Making this technology practical and A simple linear discriminant analysis (LDA) classifier was used because it is a computationally efficient real-time operation and has classification performance similar to more complex algorithms [10,29,30]. The proposed technique will be tested in a simulation study. To compare the performance of the proposed technique the results of Fisher Discriminant Analysis (Duda and Hart, 1973) on the same data have been used. To be a valuable resource (and) should not be overlooked by any scholarly library. In my opinion (this book) has been proved . LINK: Download Discriminant Analysis and Statistical Pa… eBook (PDF). Discriminant analysis and statistical pattern recognition : PDF eBook Download. March 2nd, 2013 reviewer Leave a comment Go to comments.

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