Cluster Identification : Topic Models, Matrix Factorization And Concept Association Networks

Cluster Identification : Topic Models, Matrix Factorization And Concept Association Networks

The problem of identifying clusters arising in the context of topic models and related approaches is important in the area of machine learning. The problem concerning traversals on Concept Association Networks is of great interest in the area of cognitive modelling. Cluster identification is the pro...

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Bibliographic Details
Main Author: Arun, R
Other Authors: Veni Madhavan, C E
Language:en_US
Published: 2013
Subjects:
Machine Learning
Clustering (Concepts)
Association Networks
Concept Association Networks (CAN)
Latent Dirichlet Allocation (LDA)
Matrix Factorization
Concept Association Networks - Clustering
Concept Association Networks - Traversals
Entropy (Information Theory)
Cognitive Clustering
Cluster Identification
Non-negative Matrix Factorization (NMF)
Computer Science
Online Access:http://etd.iisc.ernet.in/handle/2005/2247
http://etd.ncsi.iisc.ernet.in/abstracts/2861/G24683-Abs.pdf

Internet

http://etd.iisc.ernet.in/handle/2005/2247
http://etd.ncsi.iisc.ernet.in/abstracts/2861/G24683-Abs.pdf

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