self organizing maps

Multilayer self-organizing maps method for cluster electrocardiogram QRS wave clustering

多级自组织映射用于心电信号QRS波群聚类

Image Vector Quantization by Using Modified Self Organizing Feature Maps Algorithm

改进的自组织特征映射算法及其在图像矢量量化中的应用

In this paper, we present an improved method, three-state Self-Organizing Maps, which is a modified version of the conventional SOM in selecting winner, updating and self-adaptive frame number.

本方法从获胜神经元的选取、神经元的更新方式、神经元数目自适应变化三个方面进行了改进，解决了时序数据分帧问题。

Overlaying Clustering Results from PCA with Clustering Results from Self-Organizing Maps.

重叠比较从主要组成分析来的丛集结果,与从 自我 组织图方法来的丛集结果.

Self Organizing Feature Maps for Categorical Data Self Organizing Feature Maps ( SOM) has been used as a tool for data clustering and dimensionality reduction.

作为一种优良的聚类和降维工具，自组织神经网络SOM（SelfOrganizingFeatureMaps）已经得到广泛应用。

The self-organizing maps ( SOM) is an unsupervised learning algorithm, which is capable of self organization and visualization and has been used in many areas.

自组织映射（Self-Organizing Maps，SOM）算法是一种无导师学习方法，具有良好的自组织、可视化等特性，已经得到了广泛的应用和研究。