Jun 6, 2018 · SUMMARY. This paper discusses the effect of pre-grouping on vector classification based on the self-organizing map (SOM). The SOM is an.
Jun 1, 2018 · The SOM is an unsupervised learning neural network, and is used to form clusters of vectors using its topology preserving nature. The use of ...
SOM-Based Vector Recognition with Pre-Grouping Functionality ; Effect of grouping in vector recognition system based on SOM. Ohta M., Kurosaki Y., Ito H., Hikawa ...
Abstract—This paper discusses effect of grouping on vector classifiers that are based on self-organising map (SOM). The. SOM is an unsupervised learning ...
Missing: Functionality. | Show results with:Functionality.
This paper aims at discussing clustering algorithm based on learning vector quantization (LVQ) using a kernel function in support vector machines. Furthermore, ...
SOMs are special types of artificial neural networks that are beneficial when it comes to biomechanical studies with pattern recognition questions (Janssen et ...
Yuto Kurosaki, Masayoshi Ohta, Hidetaka Ito, Hiroomi Hikawa: SOM-Based Vector Recognition with Pre-Grouping Functionality. IEICE Trans. Inf. Syst.
The aim of this paper is to propose a method of mapping classes that can represent the relationships between their distributions. In other words, the mapped ...
Let us recall the definition of this algorithm, also called SOM (Self-Organizing Map). In its genuine form, it processes quantitative real-valued data, in which ...
The Self-Organizing Map (SOM) and Learning Vector Quantization (LVQ) algorithms are constructed in this work for variable-length and warped feature ...