caa a22 4500 477034306 CHVBK 20180405111301.0 cr unu---uuuuu 170330e19961101xx s 000 0 eng 10.1007/BF00420617 doi (NATIONALLICENCE)springer-10.1007/BF00420617 A design and analysis of objective function-based unsupervised neural networks for fuzzy clustering [Elektronische Daten] [Hyun-Sook Rhee, Kyung-Whan Oh] Fuzzy clustering has played an important role in solving many problems. In this paper, we design an unsupervised neural network model based on a fuzzy objective function, called OFUNN. The learning rule for the OFUNN model is a result of the formal derivation by the gradient descent method of a fuzzy objective function. The performance of the cluster analysis algorithm is often evaluated by counting the number of crisp clustering errors. However, the number of clustering errors alone is not a reliable and consistent measure for the performance of clustering, especially in the case of input data with fuzzy boundaries. We introduce two measures to evaluate the performance of the fuzzy clustering algorithm. The clustering results on three data sets, Iris data and two artificial data sets, are analyzed using the proposed measures. They show that OFUNN is very competitive in terms of speed and accuracy compared to the fuzzy c-means algorithm. Kluwer Academic Publishers, 1996 cluster analysis nationallicence fuzzy performance measure nationallicence gradient descent method nationallicence objective function nationallicence unsupervised neural networks nationallicence Rhee Hyun-Sook A.I. Laboratory Department of Computer Science, Sogang University, Sinsudong 1, Mapoku, 121-742, Seoul, Korea aut Oh Kyung-Whan A.I. Laboratory Department of Computer Science, Sogang University, Sinsudong 1, Mapoku, 121-742, Seoul, Korea aut Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/2(1996-11-01), 83-95 1370-4621 4:2<83 1996 4 11063 https://doi.org/10.1007/BF00420617 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00420617 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rhee Hyun-Sook A.I. Laboratory Department of Computer Science, Sogang University, Sinsudong 1, Mapoku, 121-742, Seoul, Korea aut NATIONALLICENCE 700 1- Oh Kyung-Whan A.I. Laboratory Department of Computer Science, Sogang University, Sinsudong 1, Mapoku, 121-742, Seoul, Korea aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/2(1996-11-01), 83-95 1370-4621 4:2<83 1996 4 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer