Validating fuzzy partitions obtained through c-shells clustering

  title={Validating fuzzy partitions obtained through c-shells clustering},
  author={Rajesh N. Dav{\'e}},
  journal={Pattern Recognition Letters},
Validation of fuzzy partitions induced through c-shells clustering is considered. The classical validity measures based on fuzzy partition alone are shown to be inadequate in capturing the shell sub-structure imposed by the shell clustering algorithm. Therefore, performance measures specifically designed for c-shells clustering are considered. Through examples, the new set of indices are shown to be capable of validating the structure characterized by the shell clustering algorithms, The issues… CONTINUE READING
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 186 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
99 Citations
27 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 99 extracted citations

186 Citations

Citations per Year
Semantic Scholar estimates that this publication has 186 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 27 references

Robust shape detection using fuzzy clustering: practical applications

  • R. N. Dave, T. Fu
  • Fuzzy Sets and Systems
  • 1994
Highly Influential
5 Excerpts

Fuzzy shell clustering and applications to circle detection in digital images, lnternat

  • R. N. Dave
  • J. General Systems
  • 1990
Highly Influential
8 Excerpts

Cluster validity with fuzzy sets

  • J. C. Bezdek
  • J. Cybernet.,
  • 1974
Highly Influential
4 Excerpts

Robust algorithms for clustering

  • R. N. Dave
  • K.rishnapurum
  • 1995

Quadric shell clustering algorithms and detection of second degree curves

  • R. Krishnapuram, O. H. Frigui
  • Nasmoui
  • 1993

Similar Papers

Loading similar papers…