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Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Limited Memory Bundle Method for Clusterwise Linear Regression
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Models and Methods for Clusterwise Linear Regression
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Algorithm 39 Clusterwise linear regression
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A Simulated Annealing Methodology for Clusterwise Linear Regression
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Nonsmooth Optimization Algorithm for Solving Clusterwise Linear Regression Problems
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DC Programming Algorithm for Clusterwise Linear $${{\varvec{L}}}_\mathbf{1}$$ Regression
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Consumer benefit segmentation using clusterwise linear regression
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Incremental DC optimization algorithm for large-scale clusterwise linear regression
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Extensions to the repetitive branch and bound algorithm for globally optimal clusterwise regression
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Clusterwise PLS regression on a stochastic process
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Robust clusterwise linear regression through trimming
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Model-based clustering via linear cluster-weighted models
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Globally optimal clusterwise regression by mixed logical-quadratic programming
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Nonsmooth nonconvex optimization approach to clusterwise linear regression problems
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Clusterwise support vector linear regression
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A class of fuzzy clusterwise regression models
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Global versus cluster-wise regression analyses for prediction of bead geometry in MIG welding process
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Modified global -means algorithm for minimum sum-of-squares clustering problems
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Comprehensive Clusterwise Linear Regression for Pavement Management Systems
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Cautionary Remarks on the Use of Clusterwise Regression
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Introduction to the Practice of Statistics
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III. Contributions to the mathematical theory of evolution
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Missing Value Imputation via Clusterwise Linear Regression
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Concomitant variables in finite mixture models
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Nonlinear Inference and Cluster‐Weighted Modeling
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Estimation of Finite Mixture Distributions Through Bayesian Sampling
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Model-Based Clustering, Discriminant Analysis, and Density Estimation
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Classification and Regression via Integer Optimization
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Decomposition Principle for Linear Programs
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Finite mixture models for regression problems
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Influence of Water Chemistry on Mercury Concentration in Largemouth Bass from Florida Lakes
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flexCWM: A Flexible Framework for Cluster-Weighted Models
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Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model
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A Geographical Solution to Scale and Aggregation Problems in Region-Building, Partitioning and Spatial Modelling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Performance Characterization of Clusterwise Linear Regression Algorithms
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Introduction to Clustering
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Probabilistic Branch-and-Bound for Clusterwise Linear Regression
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Cluster globally, model locally: clusterwise modeling of nonlinear dynamics
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Clusterwise linear regression using a probabilistic branch and bound algorithm under Gaussianity
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Optimization-Driven Cluster-Weighted Clusterwise Linear Regression
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Cluster Globally, Model Locally: Clusterwise modeling of nonlinear dynamics
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Parameter Estimation for Gaussian Process c-Regression Models Based on Marginal Likelihood Maximization
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Model for Predicting Maize Crop Yield on Small Farms Using Clusterwise Linear Regression and GRASP
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