- k-means clustering
- кластеризация методом k-средних
English-Russian electronics dictionary .
k-means clustering
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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
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 — 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
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
K-means algorithm — The k means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural… … Wikipedia
Fuzzy C-Means — Der Fuzzy C Means Algorithmus ist ein unüberwachter Clustering Algorithmus, der eine Erweiterung des k Means Clustering Algorithmus ist. In einer generalisierten Form wurde er von Bezdek (1981) vorgestellt.[1] Inhaltsverzeichnis 1 Grundidee 2… … Deutsch Wikipedia
k-Means-Algorithmus — Ein k Means Algorithmus ist ein Verfahren zur Clusteranalyse. Dabei wird aus einer Menge von ähnlichen Objekten eine vorher bekannte Anzahl von k Gruppen gebildet. Der Algorithmus ist eine der am häufigsten verwendeten Techniken zur Gruppierung… … Deutsch Wikipedia
Constrained clustering — In computer science, constrained clustering is a class of semi supervised learning algorithms. Typically, constrained clustering incorporates either a set of must link constraints, cannot link constraints, or both, with a Data clustering… … Wikipedia
Fuzzy clustering — is a class of algorithm in computer science. Explanation of clustering Data clustering is the process of dividing data elements into classes or clusters so that items in the same class are as similar as possible, and items in different classes… … Wikipedia
Data stream clustering — In computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data, financial transactions etc. Data stream clustering is usually studied under the data stream… … Wikipedia
