Keywords

#model-based_clustering

Model-based clustering

Model-based clustering in statistics

In statistics, cluster analysis is the algorithmic grouping of objects into homogeneous groups based on numerical measurements. Model-based clustering bases this on a statistical model for the data, usually a mixture model. This has several advantages, including a principled statistical basis for clustering, and ways to choose the number of clusters, to choose the best clustering model, to assess the uncertainty of the clustering, and to identify outliers that do not belong to any group.

Sat 17th

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Model-based clustering Cluster analysis Mixture model K-means clustering Human genetic clustering Fuzzy clustering Agent-based model Unsupervised learning Spectral clustering DBSCAN
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