Feature reduction using mixture model of directional distributions
Text data normally has thousands, or even tens of thousands, of features. This causes the well-known ldquocurse of dimensionalityrdquo in text clustering. Feature reduction techniques have been proposed to address this problem by transforming the text data into much lower dimension, and improving cl...
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