On the public citation graph
The mixture method of clustering applied to three-way data
0 signed · 110 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/bimj.4710220806openalex-snapshot
Analyses of multivariately determined community matrices using cluster analysis and multidimensional scaling
inferredcites →https://doi.org/10.1007/bf01890116openalex-snapshot
The representation of three-way proximity data by single and multiple tree structure models
inferredcites →https://doi.org/10.1007/bf02289565openalex-snapshot
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
inferredcites →https://doi.org/10.1007/bf02289621openalex-snapshot
The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. II
inferredcites →https://doi.org/10.1007/bf02289630openalex-snapshot
The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. I.
inferredcites →https://doi.org/10.1007/bf02289694openalex-snapshot
Nonmetric Multidimensional Scaling: A Numerical Method
inferredcites →https://doi.org/10.1007/bf02294012openalex-snapshot
Indclus: An Individual differences Generalization of the Adclus Model and the Mapclus Algorithm
inferredcites →https://doi.org/10.1007/bf02294206openalex-snapshot
Synthesized Clustering: A method for Amalgamating Alternative Clustering Bases with Differential Weighting of Variables
inferredcites →https://doi.org/10.1016/b978-0-12-714250-0.50006-1openalex-snapshot
The Relationship between Multidimensional Scaling and Clustering
inferredcites →https://doi.org/10.1016/b978-0-12-714250-0.50007-3openalex-snapshot
Distribution Problems in Clustering
inferredcites →https://doi.org/10.1016/s0169-7161(82)02012-4openalex-snapshot
9 The classification and mixture maximum likelihood approaches to cluster analysis
inferredcites →https://doi.org/10.1038/hdy.1976.84openalex-snapshot
Two-way pattern analysis of a large data set to evaluate genotypic adaptation
inferredcites →https://doi.org/10.1071/ar9710737openalex-snapshot
Numerical analysis of variation patterns in the genus Stylosanthes as an aid to plant introduction and assessment
inferredcites →https://doi.org/10.1071/ar9740059openalex-snapshot
Genotype × environment interactions and environmental adaptation. I. Pattern analysis — application to soya bean populations
inferredcites →https://doi.org/10.1071/ar9770223openalex-snapshot
Genotype × environment interactions and environmental adaptation. II. Assessment of environmental contributions
inferredcites →https://doi.org/10.1071/ar9820473openalex-snapshot
The use of multidimensional scaling in analysing multi-attribute genotype response across environments
inferredcites →https://doi.org/10.1080/03610928508828924openalex-snapshot
Cluster analysis in a randomized complete block design
inferredcites →https://doi.org/10.1093/ej/33.130.269openalex-snapshot
Journal of the Royal Statistical Society.
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1146/annurev.ps.31.020180.003135openalex-snapshot
Multidimensional Scaling
inferredcites →https://doi.org/10.2307/2347949openalex-snapshot
On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions
inferredcites →https://doi.org/10.2307/2981826openalex-snapshot
Statistical Modelling of Data on Teaching Styles
inferredcites →https://doi.org/10.2307/2981865openalex-snapshot
Some Statistical Approaches to Multidimensional Scaling Data
inferredcites →https://doi.org/10.2307/2988051openalex-snapshot
Three Applications of Methods of Cluster-Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/0470013192.bsa680openalex-snapshot
Three‐Mode Component and Scaling Methods
inferred← citeshttps://doi.org/10.1002/9781118445112.stat06459openalex-snapshot
Three‐Mode Component and Scaling Methods
inferred← citeshttps://doi.org/10.1002/9781118445112.stat06459.pub2openalex-snapshot
Three‐Mode Component and Scaling Models
inferred← citeshttps://doi.org/10.1002/cem.3269openalex-snapshot
Three‐way clustering around latent variables approach with constraints on the configurations to facilitate interpretation
inferred← citeshttps://doi.org/10.1002/cem.896openalex-snapshot
Grouping three‐mode data with mixture methods: the case of the diseased blue crabs
inferred← citeshttps://doi.org/10.1007/978-3-031-96736-8_83openalex-snapshot
Clustering Three-Way Ordinal Data on Reduced Spaces
inferred← citeshttps://doi.org/10.1007/978-3-319-25226-1_46openalex-snapshot
Three-Way Clustering Problems in Regional Science
inferred← citeshttps://doi.org/10.1007/978-3-642-03739-9_31openalex-snapshot
A Hierarchical Model for Time Dependent Multivariate Longitudinal Data
inferred← citeshttps://doi.org/10.1007/978-3-642-59051-1_6openalex-snapshot
Recent Developments in Three-Way Data Analysis: A Showcase of Methods and Examples
inferred← citeshttps://doi.org/10.1007/978-94-011-3418-7_14openalex-snapshot
Knowing When to Stop: Cluster Concept — Concept Cluster
inferred← citeshttps://doi.org/10.1007/bf00022605openalex-snapshot
An investigation of multi-attribute genotype response across environments using three-mode principal component analysis
inferred← citeshttps://doi.org/10.1007/bf00222133openalex-snapshot
Inheritance of osmotic adjustment to water stress in three grain sorghum crosses
inferred← citeshttps://doi.org/10.1007/bf00222887openalex-snapshot
Quantitative analysis of the effect of selection history on sugar yield adaptation of sugarcane clones
inferred← citeshttps://doi.org/10.1007/bf00225956openalex-snapshot
Multiattribute evaluation of regional cotton variety trials
inferred← citeshttps://doi.org/10.1007/bf01202266openalex-snapshot
A mixture likelihood approach for generalized linear models
inferred← citeshttps://doi.org/10.1007/bf01677554openalex-snapshot
Three-way cluster and component analysis of maize variety trials
inferred← citeshttps://doi.org/10.1007/bf01897167openalex-snapshot
A maximum likelihood methodology for clusterwise linear regression
inferred← citeshttps://doi.org/10.1007/s00122-003-1437-3openalex-snapshot
Using molecular markers to assess the effect of introgression on quantitative attributes of common bean in the Andean gene pool
inferred← citeshttps://doi.org/10.1007/s001220100641openalex-snapshot
A method for combining molecular markers and phenotypic attributes for classifying plant genotypes
inferred← citeshttps://doi.org/10.1007/s00180-024-01478-1openalex-snapshot
Mixture models for simultaneous classification and reduction of three-way data
inferred← citeshttps://doi.org/10.1007/s00357-007-0006-xopenalex-snapshot
Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches
inferred← citeshttps://doi.org/10.1007/s11205-022-03024-2openalex-snapshot
A Comparison of Migrant Integration Policies via Mixture of Matrix-Normals
inferred← citeshttps://doi.org/10.1007/s11222-010-9188-xopenalex-snapshot
Finite mixtures of matrix normal distributions for classifying three-way data
inferred← citeshttps://doi.org/10.1007/s11222-023-10291-7openalex-snapshot
Parsimonious mixtures for the analysis of tensor-variate data
inferred← citeshttps://doi.org/10.1007/s11222-023-10292-6openalex-snapshot
Biclustering multivariate discrete longitudinal data
inferred← citeshttps://doi.org/10.1007/s11222-024-10390-zopenalex-snapshot
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions
inferred← citeshttps://doi.org/10.1007/s11336-012-9315-zopenalex-snapshot
A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification
inferred← citeshttps://doi.org/10.1007/s11634-021-00475-2openalex-snapshot
Least-squares bilinear clustering of three-way data
inferred← citeshttps://doi.org/10.1007/s11634-022-00501-xopenalex-snapshot
Modal clustering of matrix-variate data
inferred← citeshttps://doi.org/10.1007/s11634-022-00526-2openalex-snapshot
A dual subspace parsimonious mixture of matrix normal distributions
inferred← citeshttps://doi.org/10.1016/0167-8116(89)90052-9openalex-snapshot
A fuzzy clusterwise regression approach to benefit segmentation
inferred← citeshttps://doi.org/10.1016/0378-4290(91)90027-sopenalex-snapshot
Three-way methods for multiattribute genotype × environment data: an illustrated partial survey
inferred← citeshttps://doi.org/10.1016/j.cam.2026.117463openalex-snapshot
Finite mixtures of matrix-variate shifted generalized asymmetric Laplace distribution for three-way data
inferred← citeshttps://doi.org/10.1016/j.compstruct.2024.118551openalex-snapshot
Fabrication and multiscale heat transfer modeling of high thermal conductivity Cf/HfB2-SiC composites
inferred← citeshttps://doi.org/10.1016/j.conbuildmat.2023.133332openalex-snapshot
Overview of the application of quantitative backscattered electron (QBSE) image analysis to characterize the cement-based materials
inferred← citeshttps://doi.org/10.1016/j.csda.2005.02.007openalex-snapshot
A mixture model for the classification of three-way proximity data
inferred← citeshttps://doi.org/10.1016/j.csda.2006.08.005openalex-snapshot
A hierarchical mixture model for clustering three-way data sets
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.05.038openalex-snapshot
Dynamic clustering and modeling of temporal data subject to common regressive effects
inferred← citeshttps://doi.org/10.1016/j.spasta.2017.07.002openalex-snapshot
Copula-based fuzzy clustering of spatial time series
inferred← citeshttps://doi.org/10.1016/j.spasta.2019.03.002openalex-snapshot
Fuzzy clustering with spatial–temporal information
inferred← citeshttps://doi.org/10.1016/j.spasta.2021.100518openalex-snapshot
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines
inferred← citeshttps://doi.org/10.1016/s0167-9473(98)00006-1openalex-snapshot
Principal classifications analysis: a method for generating consensus dendrograms and its application to three-way data
inferred← citeshttps://doi.org/10.1016/s0305-0483(98)00033-4openalex-snapshot
Efficient workforce scheduling for a serial processing environment: a case study at Minneapolis Star Tribune
inferred← citeshttps://doi.org/10.1016/s0378-4266(03)00046-3openalex-snapshot
Hedging behavior in small and medium-sized enterprises: The role of unobserved heterogeneity
inferred← citeshttps://doi.org/10.1016/s0378-4290(00)00131-3openalex-snapshot
Genotype-by-management interactions for grain yield and grain protein concentration of wheat
inferred← citeshttps://doi.org/10.1016/s0378-4290(02)00123-5openalex-snapshot
Investigating the physiological bases of predictable and unpredictable genotype by environment interactions using three-mode pattern analysis
inferred← citeshttps://doi.org/10.1017/s0021859602002125openalex-snapshot
Two-stage clustering in genotype-by-environment analyses with missing data
inferred← citeshttps://doi.org/10.1017/s1479262112000093openalex-snapshot
Establishment of a cassava (Manihot esculenta Crantz) core collection based on agro-morphological descriptors
inferred← citeshttps://doi.org/10.1023/a:1002922527795openalex-snapshot
Genotype by environment effects and selection for drought tolerance in tropical maize. II. Three-mode pattern analysis
inferred← citeshttps://doi.org/10.1023/a:1002971207770openalex-snapshot
The analysis of large scale data taken from the world groundnut (Arachis hypogaea L.) germplasm collection I. Two-way quantitative data
inferred← citeshttps://doi.org/10.1023/a:1003415929910openalex-snapshot
The analysis of large scale data taken from the world groundnut (Arachis hypogaea L.) germplasm collection. II. Two-way data with mixed data types
inferred← citeshttps://doi.org/10.1023/b:euph.0000040500.86428.e8openalex-snapshot
Statistical methods for classifying genotypes
inferred← citeshttps://doi.org/10.1071/a96071openalex-snapshot
Genetic analysis of preharvest sprouting tolerance in three wheat crosses
inferred← citeshttps://doi.org/10.1071/a96152openalex-snapshot
Genetic analysis of variation for grain yield and protein concentration in two wheat crosses
inferred← citeshttps://doi.org/10.1071/a97035openalex-snapshot
Genotype×environment interactions and some considerations of their implications for wheat breeding in Australia*
inferred← citeshttps://doi.org/10.1071/ar03169openalex-snapshot
The evaluation of the spatial and temporal stability of sugarcane farm performance based on yield and commercial cane sugar
inferred← citeshttps://doi.org/10.1071/cp11327openalex-snapshot
Adaptation analysis of diversity in adzuki germplasm introduced into Australia
inferred← citeshttps://doi.org/10.1080/02331889008802274openalex-snapshot
Some recent research in the analysis of mixture distributions
inferred← citeshttps://doi.org/10.1080/10618600.2024.2429705openalex-snapshot
Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties
inferred← citeshttps://doi.org/10.1111/j.1467-842x.1992.tb01356.xopenalex-snapshot
FITTING FINITE MIXTURE MODELS IN A REGRESSION CONTEXT
inferred← citeshttps://doi.org/10.1146/annurev.ps.43.020192.001125openalex-snapshot
Combinatorial Data Analysis
inferred← citeshttps://doi.org/10.11606/d.11.2020.tde-06102020-155826openalex-snapshot
Generalização do modelo AMMI para dados multiatributos
inferred← citeshttps://doi.org/10.11606/t.11.2016.tde-04052016-111857openalex-snapshot
Alternativas de análise para experimentos G × E multiatributo
inferred← citeshttps://doi.org/10.1177/002224379102800401openalex-snapshot
A Clusterwise Regression Method for Simultaneous Fuzzy Market Structuring and Benefit Segmentation
inferred← citeshttps://doi.org/10.1186/s12859-015-0689-7openalex-snapshot
Finite mixture clustering of human tissues with different levels of IGF-1 splice variants mRNA transcripts
inferred← citeshttps://doi.org/10.1214/11-ba622openalex-snapshot
Model based clustering for three-way data structures
inferred← citeshttps://doi.org/10.18174/132870openalex-snapshot
Clusterwise regression and market segmentation : developments and applications
inferred← citeshttps://doi.org/10.18637/jss.v087.i01openalex-snapshot
Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data
inferred← citeshttps://doi.org/10.2135/cropsci2003.1249openalex-snapshot
A Multivariate Method for Classifying Cultivars and Studying Group × Environment × Trait Interaction
inferred← citeshttps://doi.org/10.2135/cropsci2008.03.0175openalex-snapshot
Variation in Adzuki Bean (Vigna angularis) Germplasm Grown in China
inferred← citeshttps://doi.org/10.22004/ag.econ.131313openalex-snapshot
Is Hedging a Habit? Hedging Ratio Determination of Cotton Producers
inferred← citeshttps://doi.org/10.22004/ag.econ.18955openalex-snapshot
Unobserved Heterogeneity: Evidence and Implications for SMEs' Hedging Behavior
inferred← citeshttps://doi.org/10.22004/ag.econ.21963openalex-snapshot
HOW TO GROUP MARKET PARTICIPANTS? HETEROGENEITY IN HEDGING BEHAVIOR
inferred← citeshttps://doi.org/10.37317/biul-2008-0004openalex-snapshot
Structuring genotype × environment interaction — an overview
inferred← citeshttps://doi.org/10.4038/jnsfsr.v33i1.2362openalex-snapshot
A General Approach to Analysis of Three-Mode Data
inferred← citeshttps://doi.org/10.48550/arxiv.1010.2310openalex-snapshot
Stochastic model selection for Mixtures of Matrix-Normals
inferred← citeshttps://doi.org/10.6092/issn.1973-2201/5473openalex-snapshot
A Matrix-Variate Regression Model with Canonical States: An Application to Elderly Danish Twins
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.