Linear Discriminant Analysis: Linear discriminant analysis, Statistics, Machine learning, Linear combination, Features (pattern recognition), Linear ... reduction, Statistical classification - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Linear discriminant analysis and the related Fisher's linear discriminant are methods used in statistics and machine learning to find the linear combination of features which best separate two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.LDA is closely related to ANOVA and regression analysis, which also attempt to express one dependent variable as a linear combination of other features or measurements. In the other two methods however, the dependent variable is a numerical quantity, while for LDA it is a categorical variable.LDA is also closely related to principal component analysis and factor analysis in that both look for linear combinations of variables which best explain the data. LDA explicitly attempts to model the difference between the classes of data.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Linear discriminant analysis and the related Fisher's linear discriminant are methods used in statistics and machine learning to find the linear combination of features which best separate two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.LDA is closely related to ANOVA and regression analysis, which also attempt to express one dependent variable as a linear combination of other features or measurements. In the other two methods however, the dependent variable is a numerical quantity, while for LDA it is a categorical variable.LDA is also closely related to principal component analysis and factor analysis in that both look for linear combinations of variables which best explain the data. LDA explicitly attempts to model the difference between the classes of data.
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Linear Discriminant Analysis
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Alphascript Publishing, 2010
ISBN 10: 6130617178
ISBN 13: 9786130617172
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Linear discriminant analysis and the related Fisher's linear discriminant are methods used in statistics and machine learning to find the linear combination of features which best separate two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.LDA is closely related to ANOVA and regression analysis, which also attempt to express one dependent variable as a linear combination of other features or measurements. In the other two methods however, the dependent variable is a numerical quantity, while for LDA it is a categorical variable.LDA is also closely related to principal component analysis and factor analysis in that both look for linear combinations of variables which best explain the data. LDA explicitly attempts to model the difference between the classes of data. 84 pp. Englisch. Seller Inventory # 9786130617172
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Linear Discriminant Analysis | Linear discriminant analysis, Statistics, Machine learning, Linear combination, Features (pattern recognition), Linear classifier, Dimension reduction, Statistical classification
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Taschenbuch. Condition: Neu. Linear Discriminant Analysis | Linear discriminant analysis, Statistics, Machine learning, Linear combination, Features (pattern recognition), Linear classifier, Dimension reduction, Statistical classification | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130617172 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101322077