clustering method
1clustering method — grupavimo metodas statusas T sritis Standartizacija ir metrologija apibrėžtis Technologijos proceso statistinio reguliavimo metodas, kai apie proceso išsireguliavimą sprendžiama iš atitinkamos empirinės charakteristikos pasiskirstymo tam tikrose… …
2Clustering — 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,… …
3Clustering — Unter Clusteranalyse (der Begriff Ballungsanalyse wird selten verwendet) versteht man strukturentdeckende, multivariate Analyseverfahren zur Ermittlung von Gruppen (Clustern) von Objekten, deren Eigenschaften oder Eigenschaftsausprägungen… …
4Clustering-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… …
5Clustering 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… …
6Clustering 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… …
7Data 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… …
8FLAME clustering — Fuzzy clustering by Local Approximation of MEmberships (FLAME) is a novel data clustering algorithm that defines clusters in the dense parts of a dataset and performs cluster assignment solely based on the neighborhood relationships among objects …
9Consensus 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.… …
10Decomposition method (constraint satisfaction) — In constraint satisfaction, a decomposition method translates a constraint satisfaction problem into another constraint satisfaction problem that is binary and acyclic. Decomposition methods work by grouping variables into sets, and solving a… …
