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This paper proposes a novel algorithm of classification based on the similarities among data attributes. This method assumes data attributes of dataset as basic vectors of m dimensions, and each tuple of dataset as a sum vector of all the attribute-vectors. Based on transcendental concept similarity information among attributes, this paper suggests a novel distance algorithm to compute the similarity...
The paper proposes a new text similarity computing method based on concept similarity in Chinese text processing. The new method converts text to words vector space model at first, and then splits words into a set of concepts. Through computing the inner products between concepts, it obtains the similarity between words. The new method computes the similarity of text based on the similarity of words...
In recent years, there has been an increasing interest in data clustering of short documents. Existing works consider seldom the concept similarity between the words, so the quality of clustering is often very low. This paper proposes a new document-clustering algorithm based on concept similarity in Chinese text processing. Different from tradition method, the algorithm converts text into a words...
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