Boosting Discrimination Information Based Document Clustering Using Consensus and Classification

Boosting Discrimination Information Based Document Clustering Using Consensus and Classification

Adequate choice of term discrimination information measure (DIM) stipulates guaranteed document clustering. Exercise for the right choice is empirical in nature, and characteristics of data in the documents help experts to speculate a viable solution. Thus, a consistent DIM for the clustering is a m...

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Bibliographic Details
Main Authors: Ahmad Muqeem Sheri, Muhammad Aasim Rafique, Malik Tahir Hassan, Khurum Nazir Junejo, Moongu Jeon
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Consensus clustering
discrimination information
document clustering
evidence combination
knowledge reuse
mining methods and algorithms
Online Access:https://ieeexplore.ieee.org/document/8737935/

Internet

https://ieeexplore.ieee.org/document/8737935/

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