Towards general semi-supervised clustering using a cognitive reinforcement K-Iteration fast learning artificial neural network (R-Kflann)
The study of a semi-supervised clustering has recently attracted great interest from the data clustering community. Work in semi-supervised clustering systems has been done focusing on specific types of auxiliary information, i.e. partial labeling or pairwise constraints. However, in some applicatio...
Saved in:
Main Author: | Tse, Rina |
---|---|
Other Authors: | Tay Leng Phuan, Alex |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/41504 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Hierarchical clustering using K-Iterations Fast Learning Artificial Neural Networks (KFLANN)
by: Wong, Lai Ping
Published: (2008) -
Learning Bregman distance functions for semi-supervised clustering
by: Wu, Lei., et al.
Published: (2013) -
Semi-supervised clustering algorithms for web documents
by: Hua, Yunke.
Published: (2013) -
Semi-supervised clustering algorithms for web documents
by: Bian, Zhiwei.
Published: (2011) -
Using genetic algorithms in K-means fast learning artificial neural networks for clustering
by: Yin, Xiang
Published: (2008)