Application of Multivariate-Rank-Based Techniques in Clustering of Big Data
Executive Summary Very large or complex data sets, which are difficult to process or analyse using traditional data handling techniques, are usually referred to as big data. The idea of big data is characterized by the three ‘v’s which are volume , velocity , and variety ( Liu, McGree, Ge, & Xie...
Main Author: | Pritha Guha |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2018-12-01
|
Series: | Vikalpa |
Online Access: | https://doi.org/10.1177/0256090918804385 |
Similar Items
-
Clustering multivariate and functional data using spatial rank functions
by: Baragilly, Mohammed Hussein Hassan
Published: (2016) -
Ranking Maternal Health Status in Rural Areas in Iran Based on Multivariate Techniques of Factor and Cluster Analysis
by: M Yazdi, et al.
Published: (2011-06-01) -
Sorting big data by revealed preference with application to college ranking
by: Xingwei Hu
Published: (2020-04-01) -
Identifying and Ranking the Application of Big Internet of Things Data Analyses
by: Saeed Rouhani, et al.
Published: (2021-02-01) -
Evaluating Clustering Techniques over Big Data in Distributed Infrastructures
by: Shetty, Kartik
Published: (2018)