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ZENODO
Presentation . 2016
License: CC BY
Data sources: Datacite
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ZENODO
Other literature type . 2016
License: CC BY
Data sources: ZENODO
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Scalable Multiple Clustering Of High-Dimensional Data

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 17 Sep 2016Publisher:Zenodo
Authors: Sahil Kakkar;

doi: 10.5281/zenodo.154492

Scalable Multiple Clustering Of High-Dimensional Data

Abstract

Dissertation presented at GJUS&T Hisar, Haryana, India for the award of the degree of Masters of Technology in Computer Science.

Keywords

Multiple Clustering, Co-clustering, Community Detection, Scalable

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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