𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On the mathematical and numerical properties of the fuzzy c-means algorithm

✍ Scribed by Shokri Z. Selim; M.S. Kamel

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
621 KB
Volume
49
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Computationally intensive parameter sele
Computationally intensive parameter selection for clustering algorithms: The case of fuzzy c-means with tolerance
✍ VicenΓ§ Torra; Yasunori Endo; Sadaaki Miyamoto πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 168 KB πŸ‘ 1 views

Parameter selection is a well-known problem in the fuzzy clustering community. In this paper, we propose to tackle this problem using a computationally intensive approach. We apply this approach to a new method for clustering recently introduced in the literature. It is the fuzzy c-means with tolera

The important properties and application
The important properties and applications of the adaptive weighted fuzzy mean filter
✍ Chang-Shing Lee; Yau-Hwang Kuo πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 333 KB πŸ‘ 2 views

The important properties and applications of the adapti¨e weighted fuzzy mean AWFM filter are presented in this paper. AWFM is an extension of the weighted fuzzy mean Ž . WFM filter to overcome the drawback of WFM in fine signal preservation. It not only preserves the high performance of WFM on heav

Recognition of the flow regimes in the s
Recognition of the flow regimes in the spouted bed based on fuzzy c-means clustering
✍ Chun-hua Wang; Zhao-ping Zhong; Rui Li; Jia-qiang E. πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 891 KB

Hilbert-Huang transformation has been applied to extract eigenvectors from the pressure fluctuation signals in the spouted bed. According on these eigenvectors, the flow regimes in the spouted bed could be classified into 4 clusters including 'packed bed', 'stable spouting', 'bubbling fluidized bed'