clustering method
41grupavimo 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 kontrolinės… …
42méthode des groupements — 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… …
43метод группировки — 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… …
44Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain …
45K-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… …
46cosmos — /koz meuhs, mohs/, n., pl. cosmos, cosmoses for 2, 4. 1. the world or universe regarded as an orderly, harmonious system. 2. a complete, orderly, harmonious system. 3. order; harmony. 4. any composite plant of the genus Cosmos, of tropical… …
47Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …
48Cluster 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 …
49Community structure — In the study of complex networks, a network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping) sets of nodes such that each set of nodes is densely connected internally. In the… …
50Gene 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… …
