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Title: recgnition_toolbox Download
 Description: Commonly used pattern recognition toolbox, including a variety of distance measures such as the algorithm must
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recgnition toolbox\Class counts for a sample data set.txt
..................\classcnt.txt
..................\Data normalization for pattern recognition.txt
..................\Demo of condensing technique for data reduction.txt
..................\Display a matrix in a figure window.txt
..................\Evaluation of a GMM (Gaussian mixture model).txt
..................\gaussian.txt
..................\GMM (gaussian mixture model) model for 1-D data.txt
..................\gmmTrain_b.txt
..................\KMEANS K-means clustering using Forgy's batch-mode method.txt
..................\knn.txt
..................\lda_b.txt
..................\load_iris_dat.txt
..................\localmax.txt
..................\Maximum likelihood estimator for Gaussian distribution.txt
..................\Maximum of a matrix.txt
..................\Minimum of a matrix.txt
..................\neargauss.txt
..................\NORMAL2_M.txt
..................\Parameter training for gaussian mixture model (GMM).txt
..................\Pattern Recognition Toolbox.txt
..................\pca_1.txt
..................\pca_2.txt
..................\pca_3.txt
..................\Plot 1 and 2-D plots of a data matrix where each row is a data point.txt
..................\Plot the result of vector quantization (used in kmeans.m and vqLBG.m).txt
..................\projfea2.txt
..................\randelem.txt
..................\randn2.txt
..................\returns combinations of obj with n distinct.txt
..................\savascii.txt
..................\Test k-means on 2-D data.txt
..................\Try various values of K in leave-one-out K-NNR.txt
..................\Unique elements in a vector.txt
..................\Using IRIS data to test looknn.txt
..................\VECDIST Distance between two set of vectors.txt
..................\vecdist2.txt
..................\VECDOT Cosine of the angles betweeen two set of vectors.txt
..................\Vector quantization using K-means clustering.txt
..................\Vector quantization using LBG method of center splitting.txt
..................\vqLBG_b.txt
..................\vqLBG_bb.txt
recgnition toolbox

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