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The representation of three-way proximity data by single and multiple tree structure models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Optimization—Theory and Applications
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Relations between Multidimensional Scaling and Three-Mode Factor Analysis
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Gennclus: New Models for General Nonhierarchical Clustering Analysis
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Nonmetric Individual Differences Multidimensional Scaling: An Alternating Least Squares Method with Optimal Scaling Features
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Spatial Versus Tree Representations of Proximity Data
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Monotone Spline Transformations for Dimension Reduction
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A Least Squares Algorithm for Fitting Additive Trees to Proximity Data
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Indclus: An Individual differences Generalization of the Adclus Model and the Mapclus Algorithm
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MACPLUS: A Mathematical Programming Approach to Fitting the ADCLUS Model
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Spatial, Non-Spatial and Hybrid Models for Scaling
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The Estimation of Ultrametric and Path Length Trees from Rectangular Proximity Data
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Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition
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Free trees and bidirectional trees as representations of psychological distance
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A note on the metric properties of trees
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Additive clustering: Representation of similarities as combinations of discrete overlapping properties.
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Representation of Similarity Matrices by Trees
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Estimating Phylogenetic Trees from Distance Matrices
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Function minimization by conjugate gradients
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Three‐Mode Component and Scaling Methods
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Three‐Mode Component and Scaling Methods
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Three‐Mode Component and Scaling Models
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A new stochastic ultrametric tree unfolding methodology for assessing competitive market structure and deriving market segments
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Representing proximities by network models
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Minimal Verformte Hierarchische Clusterformationen
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Additive-Tree Representations
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Consensus of Hierarchical Classifications
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Potential applications of three-way multidimensional scaling and related techniques to integrate knowledge from multiple experts
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GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance data
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Ultrametric tree representations of incomplete dissimilarity data
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Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data
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The mixture method of clustering applied to three-way data
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A Parametric Procedure for Ultrametric Tree Estimation from Conditional Rank Order Proximity Data
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Mixtures of (Constrained) Ultrametric Trees
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A Nonspatial Methodology for the Analysis of Two-Way Proximity Data Incorporating the Distance-Density Hypothesis
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The Estimation of Ultrametric and Path Length Trees from Rectangular Proximity Data
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Multidimensional Scaling
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A mixture model for the classification of three-way proximity data
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Representation of individual differences in rectangular proximity data through anti-Q matrix decomposition
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Two Classes of Stochastic Tree Unfolding Models
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Anti-Robinson Structures for Analyzing Three-Way Two-Mode Proximity Data
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