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 ?
Further, data clustering is a process of function optimization, BF might be applied to solve clustering issues with its global search capability.
The papers, published in this special issue, have novelty and contain some interesting methods and applications on data clustering.
Among the main steps of the CBCD system, the steps of feature extraction, data clustering, quantization and searching are the most computationally intensive ones.
Adjusted Rand score--is a measure of the similarity between two data clusterings.
In data clustering, it is possible to view the clustering problem as an optimization problem that locates the optimal centroids of the clusters rather than to find an optimal partition.
To discover knowledge from dozens up to hundreds-dimensional spatial data clustering has become a challenge direction and difficult in the current course of the study.
muKMeans: Offers easy-to-use R functions for data clustering on Big Data using the K-means algorithm
Based on a general definition, data clustering algorithms can be classified into four categories; (1) partitioning, (2) hierarchical, (3) density-based and (4) grid-based.
Cassandra fans will generally claim that the Dynamo model of data clustering is inherently more scalable and reliable; Cassandra has no master node, and, hence, no single point of failure.
The IceWEB 5000 is configured as a fault tolerant, high availability data clustering storage platform as mandated by US federal guidelines.
Data clustering is the process of dividing data elements into classes or clusters [11].