Clustering can refer to the following:

In demographics:

  • Clustering (demographics), the gathering of various populations based on factors such as ethnicity, economics or religion.

In graph theory:

  • The formation of clusters of linked nodes in a network, measured by the clustering coefficient.

In statistics and data mining:

  • A result of cluster analysis.
  • An algorithm for cluster analysis, a method for statistical data analysis.

In computing:

  • Cluster (computing), the technique of linking many computers together to act like a single computer .
  • Data cluster, an allocation of contiguous storage in databases and file systems.
  • In hash tables, the mapping of keys to nearby slots.

Other articles related to "clustering, clusterings":

Community Structure - Algorithms For Finding Communities - Hierarchical Clustering
... method for finding community structures in networks is hierarchical clustering ... schemes for performing the grouping, the two simplest being single-linkage clustering, in which two groups are considered separate communities if and only if all pairs of nodes in ...
Advantages of Consensus Clustering
... Provides for a method to represent the consensus across multiple runs of a clustering algorithm, to determine the number of clusters in the data, and to assess the stability of the discovered clusters ... represent the consensus over multiple runs of a clustering algorithm with random restart (such as K-means, model-based Bayesian clustering, SOM, etc ... We will be able to extract lot of features / attributes from multiples runs of different clustering algorithms on the data ...
Consensus Clustering
... Consensus clustering has emerged as an important elaboration of the classical clustering problem ... Consensus clustering, also called aggregation of clustering (or partitions), refers to the situation in which a number of different (input) clusterings have been obtained for a particular dataset ... Consensus clustering is thus the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same ...
Consensus Clustering - Tunable-tightness Partitions
... In this different form of clustering, each data object is allowed to be exclusively assigned to one and only one cluster, to be unassigned from all clusters, or to be simultaneously assigned ... In some applications like gene clustering, this matches the biological reality that many of the genes considered for clustering in a particular gene discovery study might be ...