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The high-dimensional data are often characterized by more number of features with less number of instances. Many of the features are irrelevant and redundant. These features may be especially harmful in case of extreme number of features carries the problem of memory usage in order to represent the datasets. On the other hand relatively small training set, where this irrelevancy and redundancy makes...
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