Competing Behavior of Two Kinds of Self-Organizing Maps and Its Application to Clustering
-
- MATSUSHITA Haruna
- Department of Electrical and Electronic Engineering, Tokushima University
-
- NISHIO Yoshifumi
- Department of Electrical and Electronic Engineering, Tokushima University
この論文をさがす
抄録
The Self-Organizing Map (SOM) is an unsupervised neural network introduced in the 80's by Teuvo Kohonen. In this paper, we propose a method of simultaneously using two kinds of SOM whose features are different (the nSOM method). Namely, one is distributed in the area at which input data are concentrated, and the other self-organizes the whole of the input space. The competing behavior of the two kinds of SOM for nonuniform input data is investigated. Furthermore, we show its application to clustering and confirm its efficiency by comparing with the k-means method.
収録刊行物
-
- IEICE transactions on fundamentals of electronics, communications and computer sciences
-
IEICE transactions on fundamentals of electronics, communications and computer sciences 90 (4), 865-871, 2007-04-01
一般社団法人電子情報通信学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1570572702555847296
-
- NII論文ID
- 110007519145
-
- NII書誌ID
- AA10826239
-
- ISSN
- 09168508
-
- 本文言語コード
- en
-
- データソース種別
-
- CiNii Articles