The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features

Forrest W. Young; Yoshio Takane; Jan de Leeuw

doi:10.1007/bf02293871

The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features

Psychometrika ◽

10.1007/bf02293871 ◽

1978 ◽

Vol 43 (2) ◽

pp. 279-281 ◽

Cited By ~ 98

Author(s):

Forrest W. Young ◽

Yoshio Takane ◽

Jan de Leeuw

Keyword(s):

Least Squares ◽

Principal Components ◽

Least Squares Method ◽

Multivariate Data ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Scaling Features

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Additive structure in qualitative data: An alternating least squares method with optimal scaling features

Psychometrika ◽

10.1007/bf02296971 ◽

1976 ◽

Vol 41 (4) ◽

pp. 471-503 ◽

Cited By ~ 122

Author(s):

Jan de Leeuw ◽

Forrest W. Young ◽

Yoshio Takane

Keyword(s):

Least Squares ◽

Qualitative Data ◽

Least Squares Method ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Additive Structure ◽

Scaling Features

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Regression with qualitative and quantitative variables: An alternating least squares method with optimal scaling features

Psychometrika ◽

10.1007/bf02296972 ◽

1976 ◽

Vol 41 (4) ◽

pp. 505-529 ◽

Cited By ~ 129

Author(s):

Forrest W. Young ◽

Jan de Leeuw ◽

Yoshio Takane

Keyword(s):

Least Squares ◽

Least Squares Method ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Qualitative And Quantitative ◽

Scaling Features

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Nonmetric Common Factor Analysis: An Alternating Least Squares Method with Optimal Scaling Features

Behaviormetrika ◽

10.2333/bhmk.6.45 ◽

1979 ◽

Vol 6 (6) ◽

pp. 45-56 ◽

Cited By ~ 10

Author(s):

Yoshio Takane ◽

Forrest W. Young ◽

Jan de Leeuw

Keyword(s):

Factor Analysis ◽

Least Squares ◽

Least Squares Method ◽

Common Factor ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Common Factor Analysis ◽

Scaling Features

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Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features

Psychometrika ◽

10.1007/bf02293745 ◽

1977 ◽

Vol 42 (1) ◽

pp. 7-67 ◽

Cited By ~ 596

Author(s):

Yoshio Takane ◽

Forrest W. Young ◽

Jan de Leeuw

Keyword(s):

Individual Differences ◽

Multidimensional Scaling ◽

Least Squares ◽

Least Squares Method ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Scaling Features

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Homogeneity analysis withk sets of variables: An alternating least squares method with optimal scaling features

Psychometrika ◽

10.1007/bf02294131 ◽

1988 ◽

Vol 53 (2) ◽

pp. 177-197 ◽

Cited By ~ 38

Author(s):

Eeke van der Burg ◽

Jan de Leeuw ◽

Renée Verdegaal

Keyword(s):

Least Squares ◽

Least Squares Method ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Homogeneity Analysis ◽

Scaling Features

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An individual differences additive model: An alterating least squares method with optimal scaling features

Psychometrika ◽

10.1007/bf02294076 ◽

1980 ◽

Vol 45 (2) ◽

pp. 183-209 ◽

Cited By ~ 20

Author(s):

Yoshio Takane ◽

Forrest W. Young ◽

Jan De Leeuw

Keyword(s):

Individual Differences ◽

Least Squares ◽

Least Squares Method ◽

Additive Model ◽

Optimal Scaling ◽

Scaling Features

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Component models for three-way data: An alternating least squares algorithm with optimal scaling features

Psychometrika ◽

10.1007/bf02293598 ◽

1980 ◽

Vol 45 (1) ◽

pp. 39-67 ◽

Cited By ~ 54

Author(s):

Richard Sands ◽

Forrest W. Young

Keyword(s):

Least Squares ◽

Optimal Scaling ◽

Alternating Least Squares ◽

Alternating Least Squares Algorithm ◽

Least Squares Algorithm ◽

Component Models ◽

Scaling Features

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A novel alternating least-squares method based on fixed region scanning evolving factor analysis (FRSEFA) and its application in process monitoring

Analytical Methods ◽

10.1039/c4ay01292e ◽

2014 ◽

Vol 6 (19) ◽

pp. 7883-7890 ◽

Cited By ~ 4

Author(s):

Peijin Tong ◽

Ting Wu ◽

Xuan Wang ◽

Han Zhang ◽

Yan Kang ◽

...

Keyword(s):

Factor Analysis ◽

Least Squares ◽

Process Monitoring ◽

Least Squares Method ◽

Alternating Least Squares ◽

Fixed Region

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FCM-type switching regression with alternating least squares method

2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence) ◽

10.1109/fuzzy.2008.4630354 ◽

2008 ◽

Cited By ~ 1

Author(s):

Katsuhiro Honda ◽

Takahiro Ohyama ◽

Hidetomo Ichihashi ◽

Akira Notsu

Keyword(s):

Least Squares ◽

Least Squares Method ◽

Alternating Least Squares ◽

Switching Regression

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A fast alternating least squares method for third-order tensors based on a compression procedure

JSIAM Letters ◽

10.14495/jsiaml.7.5 ◽

2015 ◽

Vol 7 (0) ◽

pp. 5-8

Author(s):

Tomonori Murakoshi ◽

Takayasu Matsuo

Keyword(s):

Least Squares ◽

Least Squares Method ◽

Alternating Least Squares ◽

Third Order

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