Soft Clustering.
Session Chairs
Pawan Lingras
1 and Manish Joshi
2
1Saint Mary's University, Halifax, Canada
pawan@cs.smu.ca
2North Maharashtra University, Jalgaon, India
joshmanish@gmail.com
Introduction: Soft clustering has been found to be useful in real-world applications because it allows for fuzzy or rough boundaries of clusters. This special session aims to bring together researchers in soft clustering. Papers describing theoretical aspects, prototype systems, tools and techniques, applications, and surveys of existing work (position papers), as well as future directions are welcome. The topics may include but are not limited to the following list:
- Fuzzy clustering
- Rough clustering
- Evidential clustering
- Hybrid clustering
- Use of evolutionary and neuro-computing for soft clustering
- Applications of soft clustering to:
- Image analysis, Networks, Security, VLDB, E-learning, Decision support, Pattern recognition, Feature selection, Information retrieval, Bioinformatics, Computer vision, Multimedia, Medicine, Retail data mining, Web mining, Control, Traffic engineering, Data warehousing, Mobile phone mining
Full content can be downloaded
here.