Random Manhattan Indexing A Randomized Scalable Method for Semantic Similarity Measurement in L1 Normed Spaces Behrang Q. Zadeh Insight Centre for Data Analytics National University of Ireland, Galway behrang.qasemizadeh

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Date: 2015-10-23 12:32:06 Linear algebra Vectors Machine learning Dimension reduction Computational linguistics Vector space model Vector Euclidean vector Semantic similarity Normed vector space Norm Random projection		Random Manhattan Indexing A Randomized Scalable Method for Semantic Similarity Measurement in L1 Normed Spaces Behrang Q. Zadeh Insight Centre for Data Analytics National University of Ireland, Galway behrang.qasemizadeh Add to Reading List Source URL: pars.ie Download Document from Source Website File Size: 131,65 KB Share Document on Facebook

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