knn nearest neighbor algorithm in the given text, to consider in the training text set with the new text from the nearest (most similar), K-chapter text, according to the category of K chapter text to determine the category of new text, the specific steps of the algorithm as follows: a: re-description based on the feature set of training text vector to determine the vector of the new text: new text arrives, according to the new text of the characteristic word word said three: in the training text set to elect the most similar to the new text the K-text

knn\countele.m
...\knn.asv
...\knn.m
...\knnClass.m
...\README
...\spambase_test.txt
...\spambase_train.txt
...\vecdist.m
knn

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