clustering analysis


clustering analysis
Техника: группирование, классификация, кластерный анализ

Универсальный англо-русский словарь. . 2011.

Смотреть что такое "clustering analysis" в других словарях:

  • Clustering high-dimensional data — is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high dimensional data spaces are often encountered in areas such as medicine, where DNA microarray technology can produce a large number of… …   Wikipedia

  • 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,… …   Wikipedia

  • Clustering coefficient — In graph theory, a clustering coefficient is a measure of degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real world networks, and in particular social networks, nodes tend to create tightly knit groups… …   Wikipedia

  • Clustering — Unter Clusteranalyse (der Begriff Ballungsanalyse wird selten verwendet) versteht man strukturentdeckende, multivariate Analyseverfahren zur Ermittlung von Gruppen (Clustern) von Objekten, deren Eigenschaften oder Eigenschaftsausprägungen… …   Deutsch Wikipedia

  • Clustering-Verfahren — Unter Clusteranalyse (der Begriff Ballungsanalyse wird selten verwendet) versteht man strukturentdeckende, multivariate Analyseverfahren zur Ermittlung von Gruppen (Clustern) von Objekten, deren Eigenschaften oder Eigenschaftsausprägungen… …   Deutsch Wikipedia

  • Clustering illusion — The clustering illusion refers to the tendency erroneously to perceive small samples from random distributions to have significant streaks or clusters , caused by a human tendency to underpredict the amount of variability likely to appear in a… …   Wikipedia

  • Spatial analysis — In statistics, spatial analysis or spatial statistics includes any of the formal techniques which study entities using their topological, geometric, or geographic properties. The phrase properly refers to a variety of techniques, many still in… …   Wikipedia

  • Consensus clustering — Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than objects from different clusters. Often similarity is assessed according to a distance measure.… …   Wikipedia

  • Cluster analysis — The result of a cluster analysis shown as the coloring of the squares into three clusters. Cluster analysis or clustering is the task of assigning a set of objects into groups (called clusters) so that the objects in the same cluster are more… …   Wikipedia

  • k-means clustering — In statistics and data mining, k means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results into a partitioning of… …   Wikipedia

  • Gene chip analysis — Introduction Microarray is a powerful tool for genome analysis. It gives the global view of the genome analysis in a single experiment. Data analysis in the Microarray is a vital part as this part influences the final result. Each microarray… …   Wikipedia

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