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Clustering information


Clustering can refer to the following:

In computing:

  • Computer cluster, 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
  • Cluster analysis, the statistical task of grouping a set of objects in such a way that objects in the same group are placed closer together (such as the k-means clustering)
  • In hash tables, the mapping of keys to nearby slots

In economics:

  • Business cluster, a geographic concentration of interconnected businesses, suppliers, and associated institutions in a particular field

In graph theory:

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

and 23 Related for: Clustering information

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Clustering

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Look up clustering in Wiktionary, the free dictionary. Clustering can refer to the following: In computing: Computer cluster, the technique of linking...

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Hierarchical clustering

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greedy manner. The results of hierarchical clustering are usually presented in a dendrogram. Hierarchical clustering has the distinct advantage that any valid...

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Cluster analysis

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statistical distributions. Clustering can therefore be formulated as a multi-objective optimization problem. The appropriate clustering algorithm and parameter...

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Clustering coefficient

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of the clustering in the network, whereas the local gives an indication of the extent of "clustering" of a single node. The local clustering coefficient...

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Computer cluster

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are orchestrated by "clustering middleware", a software layer that sits atop the nodes and allows the users to treat the cluster as by and large one cohesive...

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Spectral clustering

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{\displaystyle j} . The general approach to spectral clustering is to use a standard clustering method (there are many such methods, k-means is discussed...

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Fuzzy clustering

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clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster...

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Sequence clustering

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assembled to reconstruct the original mRNA. Some clustering algorithms use single-linkage clustering, constructing a transitive closure of sequences with...

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Cluster

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effects training school Clustering (disambiguation) This disambiguation page lists articles associated with the title Cluster. If an internal link led...

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DBSCAN

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Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jörg...

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BIRCH

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iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large...

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Brown clustering

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Brown clustering is a hard hierarchical agglomerative clustering problem based on distributional information proposed by Peter Brown, William A. Brown...

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Consensus clustering

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Consensus clustering is a method of aggregating (potentially conflicting) results from multiple clustering algorithms. Also called cluster ensembles or...

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Keyword clustering

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search engine results (SERP). Keyword clustering is a fully automated process performed by keyword clustering tools. The term and the first principles...

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Clustering illusion

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The clustering illusion is the tendency to erroneously consider the inevitable "streaks" or "clusters" arising in small samples from random distributions...

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Document clustering

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Document clustering (or text clustering) is the application of cluster analysis to textual documents. It has applications in automatic document organization...

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Correlation clustering

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Clustering is the problem of partitioning data points into groups based on their similarity. Correlation clustering provides a method for clustering a...

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Hierarchical clustering of networks

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Hierarchical clustering is one method for finding community structures in a network. The technique arranges the network into a hierarchy of groups according...

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Volatility clustering

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In finance, volatility clustering refers to the observation, first noted by Mandelbrot (1963), that "large changes tend to be followed by large changes...

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Star cluster

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Star clusters are large groups of stars held together by self-gravitation. Two main types of star clusters can be distinguished: globular clusters are...

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Conceptual clustering

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distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods are capable of generating...

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Galaxy cluster

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A galaxy cluster, or a cluster of galaxies, is a structure that consists of anywhere from hundreds to thousands of galaxies that are bound together by...

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Constrained clustering

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computer science, constrained clustering is a class of semi-supervised learning algorithms. Typically, constrained clustering incorporates either a set of...

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