Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm
- 1 December 1985
- journal article
- Published by Springer Nature in Journal of Classification
- Vol. 2 (1) , 173-192
- https://doi.org/10.1007/bf01908074
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- Variable selection in clusteringJournal of Classification, 1988
- Ultrametric tree representations of incomplete dissimilarity dataJournal of Classification, 1984
- GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance dataJournal of Classification, 1984
- The representation of three-way proximity data by single and multiple tree structure modelsJournal of Classification, 1984
- A least squares algorithm for fitting an ultrametric tree to a dissimilarity matrixPattern Recognition Letters, 1984
- A Least Squares Algorithm for Fitting Additive Trees to Proximity DataPsychometrika, 1983
- Multidimensional ScalingAnnual Review of Psychology, 1980
- Multivariate Clustering Procedures with Variable MetricsPublished by JSTOR ,1974
- Unrooted trees for numerical taxonomyJournal of Applied Probability, 1974
- Hierarchical Grouping to Optimize an Objective FunctionJournal of the American Statistical Association, 1963