학술논문

The new proposal of the calculation for the significance degree by once SOM learning — Using iris, gene, and Tof-SIMS data
Document Type
Conference
Source
2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS) Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on. :1114-1119 Dec, 2014
Subject
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Iris
Breast cancer
Fatigue
Proposals
Vectors
Gaussian distribution
Self-organizing feature maps
Self organizing map
Significance degree
Language
Abstract
The significance degree of each component was calculated only by once SOM learning where the Spherical Self-Organizing-Map (SSOM) was used for the demonstration. The method can also be used by the usual planar SOM. In the method, kinds of specimens of the data are inserted in each column as each specimen. The method is first demonstrated using the iris data.