Limited Memory Bundle Method for Clusterwise Linear Regression

Mapping Intimacies ◽

10.1007/978-3-030-70787-3_8 ◽

2021 ◽

pp. 109-122

Author(s):

Napsu Karmitsa ◽

Adil M. Bagirov ◽

Sona Taheri ◽

Kaisa Joki

Keyword(s):

Linear Regression ◽

Bundle Method ◽

Limited Memory ◽

Clusterwise Linear Regression

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Incremental DC optimization algorithm for large-scale clusterwise linear regression

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2020.113323 ◽

2020 ◽

pp. 113323

Author(s):

Adil M. Bagirov ◽

Sona Taheri ◽

Emre Cimen

Keyword(s):

Linear Regression ◽

Optimization Algorithm ◽

Large Scale ◽

Dc Optimization ◽

Clusterwise Linear Regression

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A maximum likelihood methodology for clusterwise linear regression

Journal of Classification ◽

10.1007/bf01897167 ◽

1988 ◽

Vol 5 (2) ◽

pp. 249-282 ◽

Author(s):

Wayne S. DeSarbo ◽

William L. Cron

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Clusterwise Linear Regression

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LASSO-Penalized Clusterwise Linear Regression Modeling With Local Least Angle Regression (L-LARS)

SSRN Electronic Journal ◽

10.2139/ssrn.3832769 ◽

2021 ◽

Author(s):

Roberto Di Mari ◽

Roberto Rocci ◽

Stefano Antonio Gattone

Keyword(s):

Linear Regression ◽

Regression Modeling ◽

Least Angle Regression ◽

Linear Regression Modeling ◽

Clusterwise Linear Regression

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Nonsmooth nonconvex optimization approach to clusterwise linear regression problems

European Journal of Operational Research ◽

10.1016/j.ejor.2013.02.059 ◽

2013 ◽

Vol 229 (1) ◽

pp. 132-142 ◽

Author(s):

Adil M. Bagirov ◽

Julien Ugon ◽

Hijran Mirzayeva

Keyword(s):

Linear Regression ◽

Nonconvex Optimization ◽

Optimization Approach ◽

Nonsmooth Nonconvex Optimization ◽

Regression Problems ◽

Clusterwise Linear Regression

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Missing Value Imputation via Clusterwise Linear Regression

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2020.3001694 ◽

2020 ◽

pp. 1-1

Author(s):

Napsu Karmitsa ◽

Sona Taheri ◽

Adil Bagirov ◽

Pauliina Makinen

Keyword(s):

Linear Regression ◽

Missing Value ◽

Missing Value Imputation ◽

Clusterwise Linear Regression

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On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_46 ◽

2017 ◽

pp. 402-410

Author(s):

Ricardo A. M. da Silva ◽

Francisco de A. T. de Carvalho

Keyword(s):

Linear Regression ◽

Explanatory Variables ◽

Clusterwise Linear Regression

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Adaptive limited memory bundle method for bound constrained large-scale nonsmooth optimization

Optimization ◽

10.1080/02331930902884398 ◽

2010 ◽

Vol 59 (6) ◽

pp. 945-962 ◽

Author(s):

N. Karmitsa ◽

M.M. Mäkelä

Keyword(s):

Nonsmooth Optimization ◽

Large Scale ◽

Bundle Method ◽

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Algorithm 39 Clusterwise linear regression

Computing ◽

10.1007/bf02265317 ◽

1979 ◽

Vol 22 (4) ◽

pp. 367-373 ◽

Author(s):

H. Späth

Keyword(s):

Linear Regression ◽

Clusterwise Linear Regression

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Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression

Statistical Methods & Applications ◽

10.1007/s10260-020-00523-9 ◽

2020 ◽

Author(s):

Giuliano Galimberti ◽

Lorenzo Nuzzi ◽

Gabriele Soffritti

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimator ◽

Covariance Matrix ◽

Covariance Matrix Estimation ◽

Likelihood Estimator ◽

Matrix Estimation ◽

Clusterwise Linear Regression

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Clusterwise linear regression modeling with soft scale constraints

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2017.09.006 ◽

2017 ◽

Vol 91 ◽

pp. 160-178 ◽

Author(s):

Roberto Di Mari ◽

Roberto Rocci ◽

Stefano Antonio Gattone

Keyword(s):

Linear Regression ◽

Regression Modeling ◽

Linear Regression Modeling ◽

Clusterwise Linear Regression

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