ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data

ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data

Background Clustering is one of the most common techniques in data analysis and seeks to group together data points that are similar in some measure. Although there are many computer programs available for performing clustering, a single web resource that provides several state-of-the-art clustering...

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Bibliographic Details
Main Authors: Mohith Manjunath, Yi Zhang, Yeonsung Kim, Steve H. Yeo, Omar Sobh, Nathan Russell, Christian Followell, Colleen Bushell, Umberto Ravaioli, Jun S. Song
Format: Article
Language:English
Published: PeerJ Inc. 2018-05-01
Series:PeerJ Computer Science
Subjects:
Validation measures
Genomics
Web interface
Education
Clustering
Online Access:https://peerj.com/articles/cs-155.pdf

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https://peerj.com/articles/cs-155.pdf

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