Factor Analysis Principal Component (7 results)

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In mathematics, Tucker decomposition is decomposing a tensor into a set of matrices and one small core tensor. It is named after Ledyard R. Tucker though going back to Hitchcock in 1927. Initially described as a three-mode extension of factor analysis and principal component analysis it may actually be generalized to higher mode analysis. It may be regarded as a more flexible PARAFAC model. In PARAFAC the core tensor is restricted to be 'diagonal'.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In statistics, a varimax rotation is a change of coordinates used in principal component analysis and factor analysis that maximizes the sum of the variances of the squared loadings. That is, it seeks a basis that most economically represents each individual so that each individual can be well described by a linear combination of only a few basis functions. Suggested by Henry Felix Kaiser in 1958, it is a popular scheme for orthogonal rotation which cleans up the factors as follows: 'for each factor, high loadings will result for a few variables; the rest will be near zero.

Taschenbuch. Condition: Neu. Varimax Rotation | Varimax Rotation, Statistics, Coordinate System, Principal Component Analysis, Factor Analysis, Variance, Linear Combination, Empirical Orthogonal Functions | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130334901 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. Tucker Decomposition | Tullio Levi-Civita, Coordinate System, Differential Geometry, Tensor Product, Tensor Field, Factor Analysis, Principal Component Analysis, Karhunen-Loève Theorem, PARAFAC | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130335366 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Principal component analysis (PCA) involves a mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components. The first principal component accounts for as much of the variability in the data as possible, and each succeeding component accounts for as much of the remaining variability as possible. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT), the Hotelling transform or proper orthogonal decomposition (POD).

Taschenbuch. Condition: Neu. Principal Component Analysis | Karhunen-Loève Theorem, Harold Hotelling, Karl Pearson, Exploratory Data Analysis, Eigendecomposition of a Matrix, Covariance Matrix, Factor Analysis | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130315795 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.