clustering application

См. также в других словарях:

• Application Session Controller — The Application Session Controller (ASC) network element resides at the application layer and sits between the application layer and the core network to provide and manage connectivity to the evolving telecom network. It insulates the application …   Wikipedia

• Application Roll-over Facility — ARF (Application Roll over Facility) est un logiciel de haute disponibilité, fonctionnant sous AIX sur les machines Bull Escala ou Linux sur les serveurs Bull Novascale. Cette technique de clustering est développée et maintenue par Bull. ARF est… …   Wikipédia en Français

• 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

• IBM WebSphere Application Server — (WAS), a software application server, is the flagship product within IBM s WebSphere brand. WAS is built using open standards such as Java EE, XML, and Web Services. It works with a number of Web servers including Apache HTTP Server, Netscape… …   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

• WebSphere Application Server — IBM WebSphere Application Server (WAS, servidor de aplicaciones WebSphere), un servidor de aplicaciones de software, es el producto estrella dentro de la familia WebSphere de IBM. WAS está construido usando estándares abiertos tales como J2EE,… …   Wikipedia Español

• 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

• Sequence clustering — In bioinformatics, sequence clustering algorithms attempt to group sequences that are somehow related. The sequences can be either of genomic, transcriptomic (ESTs) or protein origin.For proteins, homologous sequences are typically grouped into… …   Wikipedia

• Complete-linkage clustering — In cluster analysis, complete linkage or farthest neighbour is a method of calculating distances between clusters in agglomerative hierarchical clustering. In complete linkage,[1] the distance between two clusters is computed as the maximum… …   Wikipedia

• Canopy clustering algorithm — The canopy clustering algorithm is an unsupervised clustering algorithm related to the K means algorithm.It is intended to speed up clustering operations on large data sets, where using another algorithm directly may be impractical because of the …   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