IE 452 Algebraic and Geometric Methods in Data Analysis
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An introduction to vector space representation and mathematical formulation of large high-dimensional data sets. Addresses industrial applications and managerial problems in Data Query, Centering, Ranking, Clustering, Discrete Optimization, Networks and the Internet, Massive Data Sets, Streaming Data, Sampling and Growth Models.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
(MATH 220 or MATH 225 or MATH 241 or MATH 224) and (MATH 250 or MATH 255 or MATH 230).
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