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hddc_toolbox_1.0
- The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Reference: C. Bouveyron, S. Girard and
knnsearch
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
tsp_nn
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
cap-2
- this is ebook for pattern recognition.subject is classifiers based on bayes decision theory.
codes-matlab
- this codes is Source code for face detection of viola paper.of its Features is: Feature Computation: The “Integral” image representation Feature Selection: The AdaBoost training algorithm . Real-timeliness: A cascade of classifiers.-this code