Nearest Neighbor Clustering
نویسندگان
چکیده
Clustering is often formulated as a discrete optimization problem: given a finite set of sample points, the objective is to find, among all partitions of the data set, the best one according to some quality measure. However, in the statistical setting where we assume that the finite data set has been sampled from some underlying space, the goal is not to find the best partition of the given sample, but to approximate the true partition of the underlying space.
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