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K nearest neighbor method pattern recognition PYTH
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Application background The nearest neighbor rule belongs to template matching in principle. The training samples of each sample as template, the comparison with the test sample and each template, see what templates with most similar (nearest neighbor), according to the most similar to the template category as a category of its own. a clear extension of the nearest neighbor method is K- nearest neighbor method. From the meaning of words, the method is to take the unknown sample x k nearest neighbor, see the k nearest neighbors in majority belongs to which category, put x belong to which category.
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Realization of finsher linear discriminant functio
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Application background Using statistical methods to solve the problem of pattern recognition, one of the problems encountered is the dimension problem. In the low dimensional space, analytic or calculation method of uplink, in high dimensional space often does not work. Therefore, reducing the dimension is sometimes the key to deal with the practical problems.The Fisher method proposed by R.A.Fisher in 1936, to solve the classification problem of projection data in high dimensional space to a one-dimensional space.
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