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two methods of calculating eucledian distance are shown in the m files
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this code is meant for the face recognition based on principal component analysis.and makes use of eucledian distance to retrieve the recognized images
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Bag of features source code developed in matlab. It contains mex files for clustering and eucledian distance.
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to fin Discerete Cosine Transform the similarity measures Eucledian distance in ascending order with the help of RGB coored images find similar images based on threshold-to fin Discerete Cosine Transform the similarity measures Eucledian distance in
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Feature extraction using Discrete Cosine Transform and with hte help of eucledian distance similarity measures retrieve the images on the colored images on the basis of rgb clustering
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