data clustering


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data clustering

the grouping of related information from a patient's health history, physical examination, and laboratory results as part of the process of making a diagnosis.
References in periodicals archive ?
So, the aim of this research work is to investigate the capability of chaotic charged system search (CCSS) algorithm for data clustering.
The difficulty is of high dimensional data clustering are as follows:
The software package includes PolyServe's proven Matrix Server(TM) software, a cornerstone of the Database Utility for SQL Server's functionality that enables shared data clustering, and Matrix Manager, the cluster-wide console that provides an easy-to-use single point of management.
PolyServe is the leading developer of shared data clustering software for Linux- and Microsoft Windows-based data centers.
PolyServe is a developer of shared data clustering software for Linux- and Microsoft Windows-based data centers.
Literary works offers different strategies for huge data clustering through parallel processing the security conservation.
A lot of data clustering algorithms have been proposed, one of the more well-known is BIRCH, CLARANS, CLIQUE and DBSCAN and so on.
The patented data clustering capability within PDM is ideally suited for complex 'big data' streaming analytics applications.
Livny, BIRCH: an efficient data clustering method for very large databases, In Proc.
Data clustering in C++; an object-oriented approach.
Data clustering is a data mining technique that enables the abstraction of large amounts data by forming meaningful groups or categories of objects, formally known as clusters, such that objects in the same cluster similar to each other, and those in different clusters are dissimilar.
The IceWEB 5000 is configured as a fault tolerant, high availability data clustering storage platform as mandated by federal guidelines.