Relation and fuzzy clustering for document categorization and analysis
This thesis focuses on the investigations of using fuzzy clustering for automatic document categorization based on relations between document and other types of objects. Three approaches called Fk-Parts, LinkFCM and FC-MR are proposed to handle the document clustering problem under different scenari...
Saved in:
Main Author: | Mei, Jian-Ping |
---|---|
Other Authors: | Chen Lihui |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/48627 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning-based automatic document categorization and organization
by: Foo, Shawn Nicholas Say Yan
Published: (2021) -
Discriminative power of features used by forensic document examiners in the analysis of handwriting
by: Pervouchine, Vladimir
Published: (2008) -
Cluster analysis on dynamic graphs
by: Nguyen, Ngoc Khanh
Published: (2020) -
Unsupervised data clustering for energy efficiency monitoring and analysis
by: Fu, Rong
Published: (2015) -
Incremental clustering methods and their applications on large data analysis
by: Wang, Yangtao
Published: (2016)