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...
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: | |
Online Access: | https://ieeexplore.ieee.org/document/8737935/ |
Similar Items
-
Nonnegative Matrix Factorization Based Consensus for Clusterings With a Variable Number of Clusters
by: Imran Khan, et al.
Published: (2018-01-01) -
WHASA consensus document on the management of the diabetic foot
by: Liezel Naude, et al.
Published: (2015-05-01) -
Clustering textual documents by extracting sequence from word-of-graph
by: Murtaza Munawar Fazal, et al.
Published: (2014-07-01) -
A Semi-supervised approach to Document Clustering with Sequence Constraint
by: Murtaza Munawar Fazal, et al.
Published: (2015-07-01) -
Entropy-based Consensus for Distributed Data Clustering
by: M. Owhadi-Kareshki, et al.
Published: (2019-11-01)