clustering analysis
21Fuzzy 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… …
22Document 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… …
23Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year[1] Fraud involves one or more… …
24Single-linkage clustering — In cluster analysis, single linkage, nearest neighbour or shortest distance is a method of calculating distances between clusters in hierarchical clustering. In single linkage, the distance between two clusters is computed as the distance between …
25Neighbourhood components analysis — is a supervised learning method for clustering multivariate data into distinct classes according to a given distance metric over the data. Functionally, it serves the same purposes as the K nearest neighbour algorithm, and makes direct use of a… …
26FLAME 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 …
27Correlate summation analysis — is a data mining method. It is designed to find the variables that are most covariant with all of the other variables being studied, relative to clustering. Aggregate correlate summation is the product of the totaled negative logarithm of the p… …
28Probabilistic latent semantic analysis — (PLSA), also known as probabilistic latent semantic indexing (PLSI, especially in information retrieval circles) is a statistical technique for the analysis of two mode and co occurrence data. PLSA evolved from Latent semantic analysis, adding a… …
29Multilinear principal-component analysis — (MPCA) [1] is a mathematical procedure that uses multiple orthogonal transformations to convert a set of multidimensional objects into another set of multidimensional objects of lower dimensions. There is one orthogonal transformation for each… …
30Center for International Political Analysis — The Center for International Political Analysis (CIPA) is a research center at the Policy Research Institute (PRI) at the University of Kansas.The primary project focus at present is on gathering information regarding the nature of inter state… …
