Pages that link to "Item:Q3069865"
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The following pages link to Selection of Variables for Cluster Analysis and Classification Rules (Q3069865):
Displaying 17 items.
- Feature selection for functional data (Q268756) (← links)
- Multicriteria variable selection for classification of production batches (Q439462) (← links)
- Dissimilarity and similarity measures for comparing dendrograms and their applications (Q693037) (← links)
- Selection of variables in cluster analysis: An empirical comparison of eight procedures (Q946679) (← links)
- A simple method for screening variables before clustering microarray data (Q961706) (← links)
- Pattern recognition via projection-based \(k\)NN rules (Q962393) (← links)
- Searching for the core variables in principal components analysis (Q1620923) (← links)
- A divisive clustering method for functional data with special consideration of outliers (Q1630880) (← links)
- Studying contributions of variables to classification (Q1687235) (← links)
- Modelling the role of variables in model-based cluster analysis (Q1702292) (← links)
- Discriminant and cluster analysis (Q1965966) (← links)
- Data science, big data and statistics (Q2273155) (← links)
- Clustering noisy data in a reduced dimension space via multivariate regression trees (Q2369565) (← links)
- Variable selection in model-based clustering and discriminant analysis with a regularization approach (Q2418093) (← links)
- Seeking relevant information from a statistical model (Q2954246) (← links)
- Méthode et algorithme de sélection typologique de paramètres (Q3694970) (← links)
- Identifying Multiple Cluster Structures in a Data Matrix (Q4431296) (← links)
