Referenced Items are not available for this document.
This paper presents the algorithms and experimental results for template-based shell clustering when the datasets are represented by line segments. Compared with point datasets, such representations have several advantages, which include better scalability and noise immunity, as well as the availability of orientation information. Using both synthetic and real-world image datasets, we have experimentally demonstrated that line-segment-based representations result in both better accuracy and better efficiency in shell clustering.
Published in:
Fuzzy Systems, IEEE Transactions on
(Volume:19
,
Issue:
3
)
Date of Publication: June 2011
- Page(s):
- 575 - 580
- ISSN :
- 1063-6706
- INSPEC Accession Number:
- 12032682
- Digital Object Identifier :
- 10.1109/TFUZZ.2011.2105880
- Product Type:
- Journals & Magazines
- Date of Publication :
- 13 January 2011
- Date of Current Version :
- 31 May 2011
- Issue Date :
- June 2011
- Sponsored by :
- IEEE Computational Intelligence Society
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