Paper
1 February 1992 New measures for evaluating fuzzy partitions induced through c-shells clustering
Rajesh N. Dave, Kurra Bhaswan
Author Affiliations +
Abstract
New performance measures for evaluating fuzzy partitions obtained through c-shells clustering are introduced. It is shown that the conventional measures for the fuzzy partitions do not perform well for the FCS clustering. A new set of indices are introduced to evaluate the structure characterized by the FCS algorithms. Examples are presented to demonstrate the superiority of the criteria proposed over the existing ones.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajesh N. Dave and Kurra Bhaswan "New measures for evaluating fuzzy partitions induced through c-shells clustering", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57077
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Cited by 20 scholarly publications.
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KEYWORDS
Fuzzy logic

Prototyping

Fluorescence correlation spectroscopy

Fused deposition modeling

Computer vision technology

Machine vision

Robot vision

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