См. также 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
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
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
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
Document clustering — (also referred to as Text clustering) is closely related to the concept of data clustering. Document clustering is a more specific technique for unsupervised document organization, automatic topic extraction and fast information retrieval or… … Wikipedia
Glossaire du data mining — Exploration de données Articles principaux Exploration de données Fouille de données spatiales Fouille du web Fouille de flots de données Fouille de textes … Wikipédia en Français
Cluster analysis (in marketing) — Cluster analysis is a class of statistical techniques that can be applied to data that exhibit “natural” groupings. Cluster analysis sorts through the raw data and groups them into clusters. A cluster is a group of relatively homogeneous cases or … Wikipedia
BRST algorithm — Boender Rinnooy Stougie Timmer algorithm (BRST) is an optimization algorithm suitable for finding global optimum of black box functions. In their paper Boender et al cite journal | author = Boender, C.G.E., A.H.G. Rinnooy Kan, L. Strougie and G.T … Wikipedia
Collaborative filtering — (CF) is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering typically involve very large data sets.… … Wikipedia
Grid-oriented storage — (GOS) is a dedicated data storage architecture which can be connected directly to a computational grid to support advanced data bank services and reservoirs for data that can be shared among multiple computers and end users on the grid.… … Wikipedia
