Self-Organizing Map 自组织映射 ; 自组织特征映射 ; 自组织映射图网路 ; 自组织映射网络
Self-Organizing Map SOM 自组织映射
self-organizing map network 自组织映射网络
self-organizing map networks 自组织映射网络
Growing Hierarchical Self-Organizing Map 生长型分级自组织映射 ; 生长 ; 生长层级式自组织映射图
Self-organizing Map Clustering 自组织映射图网络
Quick Self Organizing Map 快速自组织映射
growing hierarchical self-organizing map networks 生长分层自组织映射网络
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.
传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。
This paper propose a refined self-organizing map that can directly handle categorical data or hybrid data, map the data to lower dimensions, and also uncover the similarity among data.
本研究针对此问题，提出改良式自组映射图，能直接处理种类型态或混合型态的资料，同时在投射后的低维度空间，反映高维度资料之间的相似度。
应用推荐