提出了一种基于万有引力的非监督自组织聚类算法。
A unsupervised classification method was proposed based on universal gravitation.
本文提出一种基于模型的、适合变长符号序列的自组织聚类算法。
In this paper, we propose a model-based, self organizing feature map algorithm for the clustering of variable-length sequences.
本文讨论了基于自组织特征映射网络聚类算法的基本原理，并指出了算法的缺陷。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
介绍了一种利用SOFM(自组织特征映射)网络的聚类功能进行全天星图识别的算法。
An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型，使得系统可以更好的分类正常数据流和异常数据流，以此来防范未知的攻击。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
提出一种量子自组织特征映射网络模型及聚类算法。
A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
利用迭代自组织聚类法对AOI系统的检测视场进行了规划，采用基于分区搜索改进的模拟退火算法对检测路径进行了优化。
And then SAA based on regional research is adopted to optimize the inspection path of AOI. At last, a fast inspection algorithm is proposed to improve the efficiency of AOI.
它实现了两个专为短的时间序列聚类与聚类和自组织映射的原始算法。
It implements two original algorithms specifically designed for clustering short time series together with hierarchical clustering and self-organizing maps.
它实现了两个专为短的时间序列聚类与聚类和自组织映射的原始算法。
It implements two original algorithms specifically designed for clustering short time series together with hierarchical clustering and self-organizing maps.
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