Pages that link to "Item:Q1020837"
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The following pages link to Model-based methods to identify multiple cluster structures in a data set (Q1020837):
Displaying 19 items.
- Model-based multidimensional clustering of categorical data (Q420818) (← links)
- Multivariate linear regression with non-normal errors: a solution based on mixture models (Q637985) (← links)
- Using conditional independence for parsimonious model-based Gaussian clustering (Q746302) (← links)
- Editorial: Statistical learning methods including dimensionality reduction (Q1020825) (← links)
- Amalgamation of partitions from multiple segmentation bases: a comparison of non-model-based and model-based methods (Q1037693) (← links)
- Modelling the role of variables in model-based cluster analysis (Q1702292) (← links)
- A tractable multi-partitions clustering (Q1727863) (← links)
- Partitioning algorithms and combined model integration for data mining (Q1861614) (← links)
- Bayesian bi-clustering methods with applications in computational biology (Q2080793) (← links)
- Multivariate cluster-weighted models based on seemingly unrelated linear regression (Q2129595) (← links)
- Greedy learning of latent tree models for multidimensional clustering (Q2260930) (← links)
- Model based clustering for three-way data structures (Q2634110) (← links)
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis (Q4243002) (← links)
- Identifying Multiple Cluster Structures in a Data Matrix (Q4431296) (← links)
- (Q4778892) (← links)
- Finite mixture models for clustering multilevel data with multiple cluster structures (Q4970584) (← links)
- Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models (Q5083361) (← links)
- A Latent Model to Detect Multiple Clusters of Varying Sizes (Q5850945) (← links)
- Model-based clustering with nested Gaussian clusters (Q6546742) (← links)
