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7 Major problems exist in both crisp and fuzzy clustering algorithms. The fuzzy c-means type of algorithms use weights determined by a power m of inverse distances that remains

Carl G. Looney

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14

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PR
2002

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Using Fourier/Mellin-based correlators and their fractional versions in navigational tasks

13 years 5 months ago

$Using Fourier/Mellin-based correlators and their fractional versions in navigational tasks$

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The navigational tasks of computing time to impact and controlling movements in speci

Didi Sazbon, Zeev Zalevsky, Ehud Rivlin, David Men...

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23

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PR
2007

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Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation

13 years 4 months ago

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— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...

Weiling Cai, Songcan Chen, Daoqiang Zhang

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19

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EDO
2006
Springer

109views Distributed And Parallel Com...» more EDO 2006»

PrIMe: a software engineering methodology for developing provenance-aware applications

13 years 9 months ago