- clustering criteria
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English-Russian dictionary of computer science. 2015.
clustering criteria
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Conceptual clustering — is a machine learning paradigm for unsupervised classification developed mainly during the 1980s. It is distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods… … Wikipedia
Davies–Bouldin index — The Davies–Bouldin index (DBI) (introduced by David L. Davies and Donald W. Bouldin) in 1979 is a metric for evaluating clustering algorithms[1]. This is an internal evaluation scheme, where the validation of how well the clustering has been done … Wikipedia
MinHash — In computer science, MinHash (or the min wise independent permutations locality sensitive hashing scheme) is a technique for quickly estimating how similar two sets are. The scheme was invented by Andrei Broder (1997),[1] and initially used… … 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
cosmos — /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… … Universalium
Human genetic variation — is the natural variation in gene frequencies observed between the genomes of individuals or groups of humans. Variation can be measured at both the individual level (differences between individual people) and at the population level, i.e.… … Wikipedia
Windows Server 2008 — Part of the Microsoft Windows family … Wikipedia
School head lice policy — An Italian woman searches for lice in her son s hair c.1860 … Wikipedia
Metalloid — 13 14 15 16 17 2 B Boron … Wikipedia
Determining 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 … Wikipedia
Region growing — is one of the simplest region based image segmentation methods and it can also be classified as one of the pixel based image segmentations because it involves the selection of initial seed points.This approach to segmentation examines the… … Wikipedia
