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Cluster analysis
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== See also == {{Commons category|Cluster analysis}} === Specialized types of cluster analysis === * [[Automatic clustering algorithms]] * [[Balanced clustering]] * [[Clustering high-dimensional data]] * [[Conceptual clustering]] * [[Consensus clustering]] * [[Constrained clustering]] * [[Community structure#Algorithms for finding communities|Community detection]] * [[Data stream clustering]] * [[HCS clustering algorithm|HCS clustering]] * [[Sequence clustering]] * [[Spectral clustering]] === Techniques used in cluster analysis === * [[Artificial neural network]] (ANN) * [[Nearest neighbor search]] * [[Neighbourhood components analysis]] * [[Latent class model|Latent class analysis]] * [[Affinity propagation]] === Data projection and preprocessing === * [[Dimension reduction]] * [[Principal component analysis]] * [[Multidimensional scaling]] === Other === * [[Cluster-weighted modeling]] * [[Curse of dimensionality]] * [[Determining the number of clusters in a data set]] * [[Parallel coordinates]] * [[Structured data analysis (statistics)|Structured data analysis]] * [[Linear separability]]
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