clustering process
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Correlation clustering — In machine learning, correlation clustering or cluster editing operates in a scenario where the relationship between the objects are known instead of the actual representation of the objects. For example, given a signed graph G = (V,E) where the… … 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
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
Stable and tempered stable distributions with volatility clustering - financial applications — Classical financial models which assume homoskedasticity and normality cannot explain stylized phenomena such as skewness, heavy tails, and volatility clustering of the empirical asset returns in finance. In 1963, Benoit Mandelbrot first used the … Wikipedia
Volatility clustering — In finance, volatility clustering refers to the observation, as noted by Mandelbrot, that large changes tend to be followed by large changes, of either sign, and small changes tend to be followed by small changes. A quantitative manifestation of… … Wikipedia
Point process — In statistics and probability theory, a point process is a type of random process for which any one realisation consists of a set of isolated points either in time or geographical space, or in even more general spaces. For example, the occurrence … Wikipedia
Dirichlet process — In probability theory, a Dirichlet process is a stochastic process that can be thought of as a probability distribution whose domain is itself a random distribution. That is, given a Dirichlet process , where H (the base distribution) is an… … Wikipedia
Chinese restaurant process — Not to be confused with Chinese restaurant syndrome. In probability theory, the Chinese restaurant process is a discrete time stochastic process, whose value at any positive integer time n is a partition Bn of the set {1, 2, 3, … Wikipedia
cluster analysis — A form of multivariate analysis , of which the purpose is to divide a set of objects (such as variables or individuals), characterized by a number of attributes, into a set of clusters or classes, in such a way that the objects in a class are… … Dictionary of sociology
Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm … Wikipedia
Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… … Wikipedia
