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- W4339959 abstract "In this study, we propose a new Self-Organizing Map (SOM) algorithm considering Winning Frequency (called WF-SOM). The WF-SOM is that each neuron has individuality by considering winning frequency. We confirm its exact and quick self-organization in the case of the small number of learning. I. I NTRODUCTION The Self-Organizing Map (SOM) (1)(2) is an unsupervised neural network introduced by Teuvo Kohonen. SOM has attracted attention in studies of clustering in recent years. In this study, we propose a new type of SOM algorithm, which is called SOM considering Winning Frequency (WF- SOM) algorithm. The most important feature of WF-SOM is that each neuron has individuality by considering winning frequency. If a neuron becomes a winner less frequency and is nearer to the winner neuron, the neuron is updated more significantly. We investigate the behavior of WF-SOM and apply WF-SOM to clustering problems. The efficiencies of WF-SOM are confirmed by several simulation results. II. SELF-ORGANIZING MAP (SOM)" @default.
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- W4339959 date "2007-01-01" @default.
- W4339959 modified "2023-09-27" @default.
- W4339959 title "Clustering of Self-Organizing Map Considering Winning Frequency" @default.
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