Learning similarity measures in non-orthogonal space

Abstract

Many machine learning and data mining algorithms crucially rely on the similarity metrics. The Cosine similarity, which calculates the inner product of two normalized feature vectors, is one of the most commonly used similarity measures. However, in many practical tasks such as text categorization and document clustering, the Cosine similarity is calculated… (More)
DOI: 10.1145/1031171.1031240

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