Pages that link to "Item:Q1113590"
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The following pages link to Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data (Q1113590):
Displaying 18 items.
- Reconstructing the shape of a tree from observed dissimilarity data (Q103560) (← links)
- In memoriam: J. Douglas Carroll, 1939--2011 (Q263352) (← links)
- Clique optimization: A method to construct parsimonious ultrametric trees from similarity data (Q923556) (← links)
- The representation of three-way proximity data by single and multiple tree structure models (Q1059960) (← links)
- Was Euclid an unnecessarily sophisticated psychologist? (Q1205750) (← links)
- Probabilistic models in cluster analysis (Q1350792) (← links)
- A survey of constrained classification (Q1351841) (← links)
- Exploring the set-theoretical structure of objects by additive trees (Q1362284) (← links)
- Constructing ultrametric and additive trees based on the \(L_1\) norm. (Q1566102) (← links)
- An algorithm to obtain additive trees based upon the preservation of the clusters structure (Q1874090) (← links)
- Deriving ultrametric tree structures from proximity data confounded by differential stimulus familiarity (Q1901365) (← links)
- A parametric procedure for ultrametric tree estimation from conditional rank order proximity data (Q1901372) (← links)
- An efficient algorithm for supertrees (Q1901397) (← links)
- In memoriam, J. Douglas Carroll 1939--2011 (Q1940978) (← links)
- Order preserving hierarchical agglomerative clustering (Q2163229) (← links)
- A reduction algorithm for approximating a (nonmetric) dissimilarity by a tree distance (Q2563540) (← links)
- Iterative projection strategies for the least‐squares fitting of tree structures to proximity data (Q4715685) (← links)
- (Q5265414) (← links)