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Hierarchically Organizing Data Using a Partial Least Squares Analysis (PLS-Trees)
Umeå University, Faculty of Science and Technology, Department of Chemistry. (Computational life science cluster (CLiC))
Umeå University, Faculty of Science and Technology, Department of Chemistry. Umetrics AB.
Umetrics AB.
2009 (English)Patent (Other (popular science, discussion, etc.))
Abstract [en]

Abstract: A method and system for partitioning (clustering) large amounts of data in a relatively short processing time. The method involves providing a first data matrix and a second data matrix where each of the first and second data matrices includes one or more variables, and a plurality of data points. The method also involves determining a first score from the first data matrix using a partial least squares (PLS) analysis or orthogonal PLS (OPLS) analysis and partitioning the first and second data matrices (e.g., row-wise) into a first group and a second group based on the sorted first score, the variance of the first data matrix, and a variance of the first and second groups relative to the variances of the first and second data matrices.

Place, publisher, year, edition, pages
2009.
National Category
Algebra and Logic Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-88204OAI: oai:DiVA.org:umu-88204DiVA: diva2:714284
Patent
20090164171
Available from: 2014-04-25 Created: 2014-04-25 Last updated: 2016-02-29

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