Greedy Representative Selection for Unsupervised Data Analysis

Greedy Representative Selection for Unsupervised Data Analysis

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In recent years, the advance of information and communication technologies has allowed the storage and transfer of massive amounts of data. The availability of this overwhelming amount of data stimulates a growing need to develop fast and accurate algorithms to discover useful information hidden in...

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Bibliographic Details
Main Author: Helwa, Ahmed Khairy Farahat
Language:en
Published: 2013
Subjects:
Data Mining
Machine Learning
Unsupervised Data Analysis
Greedy Algorithms
Representative Selection
Feature Selection
Data Clustering
Electrical and Computer Engineering
Online Access:http://hdl.handle.net/10012/7270

Internet

http://hdl.handle.net/10012/7270

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