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Additive two-mode clustering: The error-variance approach revisited
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bs.3830170604openalex-snapshot
An experimental study of relationships between attitudes, brand preference, and choice
inferredcites →https://doi.org/10.1007/978-3-642-50974-2_52openalex-snapshot
A Two-Mode Clustering Study of Situations and Their Features
inferredcites →https://doi.org/10.1007/978-3-642-73489-2_18openalex-snapshot
Marketing Applications of Sequencing and Partitioning of Nonsymmetric and/or Two-Mode Matrices
inferredcites →https://doi.org/10.1007/978-3-642-76307-6_1openalex-snapshot
An Agglomerative Method for Two-Mode Hierarchical Clustering
inferredcites →https://doi.org/10.1007/bf00140866openalex-snapshot
Clustering for contingency tables: boxes and partitions
inferredcites →https://doi.org/10.1007/bf01890073openalex-snapshot
Additive clustering and qualitative factor analysis methods for similarity matrices
inferredcites →https://doi.org/10.1007/bf01908603openalex-snapshot
Additive clustering and qualitative factor analysis methods for similarity matrices
inferredcites →https://doi.org/10.1007/bf02293709openalex-snapshot
Gennclus: New Models for General Nonhierarchical Clustering Analysis
inferredcites →https://doi.org/10.1007/bf02638453openalex-snapshot
An error variance approach to two-mode hierarchical clustering
inferredcites →https://doi.org/10.1016/0306-4573(89)90047-2openalex-snapshot
Applying row-column permutation to matrix representations of large citation networks
inferredcites →https://doi.org/10.1016/b978-0-444-81531-6.50024-6openalex-snapshot
Correspondence analysis and classification
inferredcites →https://doi.org/10.1037//0033-295x.86.2.87openalex-snapshot
Additive clustering: Representation of similarities as combinations of discrete overlapping properties.
inferredcites →https://doi.org/10.1037/h0037037openalex-snapshot
Behavioral appropriateness and situational constraint as dimensions of social behavior.
inferredcites →https://doi.org/10.1080/00401706.1983.10487834openalex-snapshot
Analysis of Categorical Data: Dual Scaling and Its Applications
inferredcites →https://doi.org/10.1080/01621459.1972.10481214openalex-snapshot
Direct Clustering of a Data Matrix
inferredcites →https://doi.org/10.1086/208996openalex-snapshot
On the Use of Hierarchical Clustering for the Analysis of Nonsymmetric Proximities
inferredcites →https://doi.org/10.1146/annurev.ps.43.020192.001125openalex-snapshot
Combinatorial Data Analysis
inferredcites →https://doi.org/10.1177/001872677402700603openalex-snapshot
The Taxonomic Classification of Behaviors and Situations and the Problem of Behavior-Environment Congruence
inferredcites →https://doi.org/10.1287/mksc.8.1.89openalex-snapshot
Note—A Brand Switching Model with Implications for Marketing Strategies
inferredcites →https://doi.org/10.2307/2412741openalex-snapshot
Modal Blocks in Dentition of West Coast Mammals
inferredcites →https://doi.org/10.2307/2531266openalex-snapshot
Theory and Applications of Correspondence Analysis.
inferredcites →https://doi.org/10.2307/2981514openalex-snapshot
Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices.
inferredcites →https://doi.org/10.2307/3151375openalex-snapshot
Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices
inferredcites →https://doi.org/10.4324/9781003463108-19openalex-snapshot
Automation and Remote Control
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Approximate Bicluster and Tricluster Boxes in the Analysis of Binary Data
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Mathematical Classification and Clustering: From How to What and Why
inferred← citeshttps://doi.org/10.1007/978-3-642-79999-0_14openalex-snapshot
Recent Developments in Multimode Clustering
inferred← citeshttps://doi.org/10.1007/bf02289854openalex-snapshot
Geometric Representation of Association between Categories
inferred← citeshttps://doi.org/10.1007/bf02289855openalex-snapshot
A Hierarchical Bayesian Procedure for Two-Mode Cluster Analysis
inferred← citeshttps://doi.org/10.1007/s00357-009-9031-2openalex-snapshot
Optimization Strategies for Two-Mode Partitioning
inferred← citeshttps://doi.org/10.1007/s00357-013-9120-0openalex-snapshot
Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms
inferred← citeshttps://doi.org/10.1007/s00357-015-9185-zopenalex-snapshot
An Exact Algorithm for the Two-Mode KL-Means Partitioning Problem
inferred← citeshttps://doi.org/10.1007/s10618-021-00787-zopenalex-snapshot
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent
inferred← citeshttps://doi.org/10.1016/j.jmp.2006.05.005openalex-snapshot
Inducing a blockmodel structure of two-mode binary data using seriation procedures
inferred← citeshttps://doi.org/10.1016/j.jmp.2007.07.001openalex-snapshot
A variable neighborhood search method for generalized blockmodeling of two-mode binary matrices
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.02.003openalex-snapshot
Hard and fuzzy diagonal co-clustering for document-term partitioning
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.10.026openalex-snapshot
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering
inferred← citeshttps://doi.org/10.1016/j.socnet.2012.12.001openalex-snapshot
A new criterion function for exploratory blockmodeling for structural and regular equivalence
inferred← citeshttps://doi.org/10.1017/nws.2013.5openalex-snapshot
A variable neighborhood search method for a two-mode blockmodeling problem in social network analysis
inferred← citeshttps://doi.org/10.1109/tmm.2011.2181151openalex-snapshot
Hierarchical Co-Clustering: A New Way to Organize the Music Data
inferred← citeshttps://doi.org/10.1111/j.1473-4192.1999.tb00172.xopenalex-snapshot
Problematic communication in the workplace: beliefs of superiors and subordinates
inferred← citeshttps://doi.org/10.1177/0265532207086780openalex-snapshot
Rater types in writing performance assessments: A classification approach to rater variability
inferred← citeshttps://doi.org/10.1191/0962280204sm373raopenalex-snapshot
Two-mode clustering methods: astructuredoverview
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Identification of Bicluster Regions in a Binary Matrix and Its Applications
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Propiedades de un enfoque difuso para particionamiento con datos bimodales
inferred← citeshttps://doi.org/10.25148/etd.fi14040816openalex-snapshot
Mining the Online Social Network Data: Influence, Summarization, and Organization
inferred← citeshttps://doi.org/10.5445/ksp/1000058747/01openalex-snapshot
Probabilistic Two-way Clustering Approaches with Emphasis on the Maximum Interaction Criterion
inferred← citeshttps://doi.org/10.5771/0943-7444-1996-4-239openalex-snapshot
Knowlege Organization Literature 23 (1996) No. 4
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Analysis and data mining of moving object trajectories
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Utilisation des modèles de co-clustering pour l'analyse exploratoire des données
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