On the public citation graph
Clusterwise linear least absolute deviations regression
0 signed · 18 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known work and none has been retracted — and get a dated CiteStamped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/bf01719847openalex-snapshot
Up- and down-dating procedures for linearL 1 regression
inferredcites →https://doi.org/10.1007/bf02243486openalex-snapshot
Correction to algorithm 39 clusterwise linear regression
inferredcites →https://doi.org/10.1007/bf02249940openalex-snapshot
A fast algorithm for clusterwise linear regression
inferredcites →https://doi.org/10.1007/bf02265317openalex-snapshot
Algorithm 39 Clusterwise linear regression
inferredcites →https://doi.org/10.1080/03610917908812113openalex-snapshot
A revised simplex algorithm for the absolute deviation curve fitting problem
inferredcites →https://doi.org/10.2307/2008198openalex-snapshot
Cluster Dissection and Analysis; Theory, FORTRAN Programs, Examples.
inferredcites →https://doi.org/10.2307/2531267openalex-snapshot
Cluster Dissection and Analysis: Theory, Fortran Programs, Examples.
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/10.1007/978-3-031-33271-5_17openalex-snapshot
Scalable and Near-Optimal $$\varepsilon $$-Tube Clusterwise Regression
inferred← citeshttps://doi.org/10.1007/bf01721102openalex-snapshot
A fast algorithm for clusterwise linear 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/s10182-011-0155-4openalex-snapshot
A weighted least-squares approach to clusterwise regression
inferred← citeshttps://doi.org/10.1007/s40305-017-0151-9openalex-snapshot
DC Programming Algorithm for Clusterwise Linear $${{\varvec{L}}}_\mathbf{1}$$ Regression
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/b978-0-12-656460-0.50008-2openalex-snapshot
Linear Lp Regression
inferred← citeshttps://doi.org/10.1016/j.ejor.2020.04.032openalex-snapshot
Clusterwise support vector linear regression
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/10.1080/09720510.2018.1522801openalex-snapshot
A generalized goal programming model for parsimonious robust clusterwise linear regression
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.