On the public citation graph
A fast algorithm for clusterwise linear regression
0 signed · 86 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02243486openalex-snapshot
Correction to algorithm 39 clusterwise linear regression
inferredcites →https://doi.org/10.1007/bf02265317openalex-snapshot
Algorithm 39 Clusterwise linear regression
inferredcites →https://doi.org/10.1080/00401706.1981.10487693openalex-snapshot
Cluster Analysis Algorithms for Data Reduction and Classification of Objects
inferredcites →https://doi.org/10.1080/01621459.1979.10481633openalex-snapshot
Numerically Stable Methods for Updating Regressions
inferredcites →https://doi.org/10.1090/s0025-5718-1976-0431641-8openalex-snapshot
Reorthogonalization and stable algorithms for updating the Gram-Schmidt 𝑄𝑅 factorization
inferredcites →https://doi.org/10.1093/imamat/12.3.329openalex-snapshot
Least Squares Computations by Givens Transformations Without Square Roots
inferredcites →https://doi.org/10.2307/2347147openalex-snapshot
Algorithm AS 75: Basic Procedures for Large, Sparse or Weighted Linear Least Problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4884919openalex-extracted
Cluster Analysis for Regime Identification in Stochastic Simulation Metamodeling
inferred← citeshttps://doi.org/10.1002/sam.10139openalex-snapshot
Clusterwise p*models for social network analysis
inferred← citeshttps://doi.org/10.1002/sam.11379openalex-snapshot
The next‐generation K‐means algorithm
inferred← citeshttps://doi.org/10.1007/978-3-030-70787-3_8openalex-snapshot
Limited Memory Bundle Method for Clusterwise Linear Regression
inferred← citeshttps://doi.org/10.1007/978-3-031-33271-5_17openalex-snapshot
Scalable and Near-Optimal $$\varepsilon $$-Tube Clusterwise Regression
inferred← citeshttps://doi.org/10.1007/978-3-319-42972-4_25openalex-snapshot
Robust Fuzzy Clustering via Trimming and Constraints
inferred← citeshttps://doi.org/10.1007/978-3-319-73848-2_15openalex-snapshot
Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints
inferred← citeshttps://doi.org/10.1007/978-3-7908-1709-6_4openalex-snapshot
A robust linear grouping algorithm
inferred← citeshttps://doi.org/10.1007/bf01721102openalex-snapshot
A fast algorithm for clusterwise linear absolute deviations regression
inferred← citeshttps://doi.org/10.1007/bf01897167openalex-snapshot
A maximum likelihood methodology for clusterwise linear regression
inferred← citeshttps://doi.org/10.1007/bf02251095openalex-snapshot
Clusterwise linear least absolute deviations regression
inferred← citeshttps://doi.org/10.1007/bf02296405openalex-snapshot
A Simulated Annealing Methodology for Clusterwise Linear Regression
inferred← citeshttps://doi.org/10.1007/s00357-009-9035-yopenalex-snapshot
A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering
inferred← citeshttps://doi.org/10.1007/s00357-014-9155-xopenalex-snapshot
Globally Optimal Clusterwise Regression By Column Generation Enhanced with Heuristics, Sequencing and Ending Subset Optimization
inferred← citeshttps://doi.org/10.1007/s00357-021-09394-5openalex-snapshot
Partition of Interval-Valued Observations Using Regression
inferred← citeshttps://doi.org/10.1007/s10182-011-0155-4openalex-snapshot
A weighted least-squares approach to clusterwise regression
inferred← citeshttps://doi.org/10.1007/s10898-020-00950-8openalex-snapshot
A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem
inferred← citeshttps://doi.org/10.1007/s10957-014-0566-yopenalex-snapshot
Nonsmooth Optimization Algorithm for Solving Clusterwise Linear Regression Problems
inferred← citeshttps://doi.org/10.1007/s11224-022-01920-4openalex-snapshot
Structure–antioxidant activity (oxygen radical absorbance capacity) relationships of phenolic compounds
inferred← citeshttps://doi.org/10.1007/s11590-014-0749-3openalex-snapshot
An algorithm for clusterwise linear regression based on smoothing techniques
inferred← citeshttps://doi.org/10.1007/s11634-009-0056-5openalex-snapshot
Regularized fuzzy clusterwise ridge regression
inferred← citeshttps://doi.org/10.1007/s11634-013-0126-6openalex-snapshot
Functional fuzzy clusterwise regression analysis
inferred← citeshttps://doi.org/10.1007/s11634-016-0271-9openalex-snapshot
A fuzzy approach to robust regression clustering
inferred← citeshttps://doi.org/10.1007/s11634-020-00385-9openalex-snapshot
A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem
inferred← citeshttps://doi.org/10.1007/s13676-014-0057-1openalex-snapshot
Identification and estimation of latent group-level-effects in infrastructure performance modeling
inferred← citeshttps://doi.org/10.1016/0167-8116(89)90046-3openalex-snapshot
Consumer benefit segmentation using clusterwise linear regression
inferred← citeshttps://doi.org/10.1016/0167-8116(89)90052-9openalex-snapshot
A fuzzy clusterwise regression approach to benefit segmentation
inferred← citeshttps://doi.org/10.1016/0167-9473(91)90084-fopenalex-snapshot
A general estimation procedure based on group means
inferred← citeshttps://doi.org/10.1016/b978-0-12-656460-0.50008-2openalex-snapshot
Linear Lp Regression
inferred← citeshttps://doi.org/10.1016/j.apenergy.2015.08.126openalex-snapshot
Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data
inferred← citeshttps://doi.org/10.1016/j.cam.2020.113323openalex-snapshot
Incremental DC optimization algorithm for large-scale clusterwise linear regression
inferred← citeshttps://doi.org/10.1016/j.compag.2014.10.014openalex-snapshot
Center-based clustering for line detection and application to crop rows detection
inferred← citeshttps://doi.org/10.1016/j.cor.2012.02.007openalex-snapshot
Extensions to the repetitive branch and bound algorithm for globally optimal clusterwise regression
inferred← citeshttps://doi.org/10.1016/j.cor.2020.105124openalex-snapshot
On the multisource hyperplanes location problem to fitting set of points
inferred← citeshttps://doi.org/10.1016/j.csda.2004.11.011openalex-snapshot
Linear grouping using orthogonal regression
inferred← citeshttps://doi.org/10.1016/j.csda.2008.04.011openalex-snapshot
A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences
inferred← citeshttps://doi.org/10.1016/j.ejor.2011.01.016openalex-snapshot
Globally optimal clusterwise regression by mixed logical-quadratic programming
inferred← citeshttps://doi.org/10.1016/j.ejor.2013.02.059openalex-snapshot
Nonsmooth nonconvex optimization approach to clusterwise linear regression problems
inferred← citeshttps://doi.org/10.1016/j.engappai.2018.09.012openalex-snapshot
Prediction error-based clustering approach for multiple-model learning using statistical testing
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114539openalex-snapshot
A column generation based heuristic algorithm for piecewise linear regression
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115609openalex-snapshot
Weighted Clusterwise Linear Regression based on adaptive quadratic form distance
inferred← citeshttps://doi.org/10.1016/j.jom.2012.06.001openalex-snapshot
Emergent clustering methods for empirical OM research
inferred← citeshttps://doi.org/10.1016/j.jspi.2004.04.021openalex-snapshot
A consistent procedure for determining the number of clusters in regression clustering
inferred← citeshttps://doi.org/10.1016/s0377-2217(98)00052-6openalex-snapshot
A mathematical programming approach to clusterwise regression model and its extensions
inferred← citeshttps://doi.org/10.1017/cbo9781139042918.006openalex-snapshot
Uniformly Fine-Grained Data-Parallel Computing for Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00628openalex-snapshot
Inverse QSPR/QSAR Analysis for Chemical Structure Generation (fromytox)
inferred← citeshttps://doi.org/10.1037/a0025385openalex-snapshot
Clusterwise simultaneous component analysis for analyzing structural differences in multivariate multiblock data.
inferred← citeshttps://doi.org/10.1061/(asce)is.1943-555x.0000182openalex-snapshot
Explaining Heterogeneity in Pavement Deterioration: Clusterwise Linear Regression Model
inferred← citeshttps://doi.org/10.1080/00273170701836653openalex-snapshot
Cautionary Remarks on the Use of Clusterwise Regression
inferred← citeshttps://doi.org/10.1080/02664763.2013.784896openalex-snapshot
Multivariate linear regression for heterogeneous data
inferred← citeshttps://doi.org/10.1080/09720510.2018.1522801openalex-snapshot
A generalized goal programming model for parsimonious robust clusterwise linear regression
inferred← citeshttps://doi.org/10.1108/s1548-6435(2008)0000005008openalex-snapshot
A New Spatial Classification Methodology for Simultaneous Segmentation, Targeting, and Positioning (STP Analysis) for Marketing Research
inferred← citeshttps://doi.org/10.1109/hicss.1997.663205openalex-snapshot
Conditional market segmentation by neural networks
inferred← citeshttps://doi.org/10.1109/tkde.2020.3001694openalex-snapshot
Missing Value Imputation via Clusterwise Linear Regression
inferred← citeshttps://doi.org/10.1109/tsmca.2010.2064301openalex-snapshot
Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis
inferred← citeshttps://doi.org/10.1111/gean.12252openalex-snapshot
Classification and Regression via Integer Optimization for Neighborhood Change
inferred← citeshttps://doi.org/10.1111/j.1467-9868.2008.00682.xopenalex-snapshot
Robust Linear Clustering
inferred← citeshttps://doi.org/10.1111/j.1475-4932.2011.00779.xopenalex-snapshot
An Econometric Assessment of Pricing Sydney’s Residential Water Use*
inferred← citeshttps://doi.org/10.1145/3550074openalex-snapshot
Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison
inferred← citeshttps://doi.org/10.1145/3850158openalex-snapshot
Optimization-Driven Cluster-Weighted Clusterwise Linear Regression
inferred← citeshttps://doi.org/10.1155/2007/37475openalex-snapshot
An M -Estimation-Based Procedure for Determining the Number of Regression Models in Regression Clustering
inferred← citeshttps://doi.org/10.1155/2016/4037380openalex-snapshot
Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications
inferred← citeshttps://doi.org/10.1177/002224379603300309openalex-snapshot
Modifying Cluster-Based Segments to Enhance Agreement with an Exogenous Response Variable
inferred← citeshttps://doi.org/10.1177/0361198106197400109openalex-snapshot
Pavement Condition Prediction Using Clusterwise Regression
inferred← citeshttps://doi.org/10.1287/ijoc.2020.1053openalex-snapshot
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications
inferred← citeshttps://doi.org/10.1287/mksc.1100.0565openalex-snapshot
Multicriterion Market Segmentation: A New Model, Implementation, and Evaluation
inferred← citeshttps://doi.org/10.1300/j366v06n03_02openalex-snapshot
Approaches to Customer Segmentation
inferred← citeshttps://doi.org/10.14288/1.0066454openalex-snapshot
Linear clustering with application to single nucleotide polymorphism genotyping
inferred← citeshttps://doi.org/10.1509/jmkr.39.1.99.18932openalex-snapshot
A Simulated Annealing Heuristic for a Bicriterion Partitioning Problem in Market Segmentation
inferred← citeshttps://doi.org/10.1509/jmr.10.0395openalex-snapshot
Model-Based Segmentation Featuring Simultaneous Segment-Level Variable Selection
inferred← citeshttps://doi.org/10.3389/fpsyg.2016.01540openalex-snapshot
Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics
inferred← citeshttps://doi.org/10.3758/s13428-011-0166-9openalex-snapshot
Clusterwise HICLAS: A generic modeling strategy to trace similarities and differences in multiblock binary data
inferred← citeshttps://doi.org/10.48550/arxiv.1709.05602openalex-snapshot
Characterization of Hemodynamic Signal by Learning Multi-View Relationships
inferred← citeshttps://doi.org/10.5283/epub.4496openalex-snapshot
Conjoint-Analyse und Marktsegmentierung
inferred← citeshttps://doi.org/10.71014/sieds.v80i3.477openalex-snapshot
Poverty risk and territorial disparities in Europe: a clusterwise lasso regression approach
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.