Pages that link to "Item:Q946679"
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The following pages link to Selection of variables in cluster analysis: An empirical comparison of eight procedures (Q946679):
Displaying 25 items.
- Variable selection for clustering and classification (Q288977) (← links)
- A survey on feature weighting based K-means algorithms (Q333337) (← links)
- A mixed integer linear model for clustering with variable selection (Q336929) (← links)
- Exact and approximate algorithms for variable selection in linear discriminant analysis (Q452539) (← links)
- Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables (Q481914) (← links)
- Dissimilarity and similarity measures for comparing dendrograms and their applications (Q693037) (← links)
- Binary whale optimization algorithm and binary moth flame optimization with clustering algorithms for clinical breast cancer diagnoses (Q779012) (← links)
- A modified \(k\)-means clustering procedure for obtaining a cardinality-constrained centroid matrix (Q779061) (← links)
- An exact method for partitioning dichotomous items within the framework of the monotone homogeneity model (Q906046) (← links)
- Order-constrained solutions in \(K\)-means clustering: even better than being globally optimal (Q998835) (← links)
- Amalgamation of partitions from multiple segmentation bases: a comparison of non-model-based and model-based methods (Q1037693) (← links)
- Variable neighborhood search heuristics for selecting a subset of variables in principal component analysis (Q1048653) (← links)
- rCOSA: a software package for clustering objects on subsets of attributes (Q1695105) (← links)
- Modelling the role of variables in model-based cluster analysis (Q1702292) (← links)
- Variable selection methods for model-based clustering (Q1749770) (← links)
- Simultaneous dimension reduction and clustering via the NMF-EM algorithm (Q2036153) (← links)
- ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification (Q2201329) (← links)
- Exact methods for variable selection in principal component analysis: guide functions and pre-selection (Q2359463) (← links)
- Factorial and reduced \(K\)-means reconsidered (Q2445639) (← links)
- James-Stein shrinkage to improve \(k\)-means cluster analysis (Q2445666) (← links)
- D-optimality criterion for weighting variables in K-means clustering (Q2510893) (← links)
- Selection of Variables for Cluster Analysis and Classification Rules (Q3069865) (← links)
- Identifying Multiple Cluster Structures in a Data Matrix (Q4431296) (← links)
- CLUSTERING FUNCTIONAL DATA USING WAVELETS (Q4917272) (← links)
- Affinity propagation and uncapacitated facility location problems (Q5964469) (← links)
