A partial least squares (PLS) regression is used to model and visualize the waste-water treatment process. The score values of PLS are submitted to both a fuzzy C-means (FCM) clustering and a possibilistic C-means (PCM) clustering. In this work, four concepts are presented. Firstly, a hidden path pr
β¦ LIBER β¦
Adaptive Fuzzy C-Means clustering in process monitoring
β Scribed by Pekka Teppola; Satu-Pia Mujunen; Pentti Minkkinen
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 674 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0169-7439
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In this paper we deal with the clustering problem whose goal consists of computing a partition of a family of patterns into disjoint classes. The method that we propose is formulated as a constrained minimization problem, whose solution depends on a fuzzy objective function in which reject options a