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This algorithm is used for clustering to give you some data, their properties have been digitized, you do so to them clustering? K is doing this. In fact, as long as a piece of data is digitized, you can think of them as a point. We look at these records as a point group. We classify some things, in fact, to see their distance, is the so-called birds of a feather flock together. For example, we want to cluster them into 3 categories, we can randomly select three different points, and then each test data with the three points of distance, this test data and three points at which distance recently ...
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