gray sample clustering 灰色样本聚类
orderly sample clustering 有序样品聚类
Sample Weighting Clustering 样本加权聚类
Radial basis function networks which based on sample clustering, with the simplicity of its single-hidden layer structure and the high speed of its training, is applied very extensively as a kind of neural networks.
以样本聚类为基础的径向基函数(RBF)神经网络是一种结构简单、训练简洁、应用广泛的人工神经网络。
参考来源 - 基于熵聚类的RBF神经网络训练算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Secondly, a new projection index based on dynamic cluster rule is constructed in the PPDC model, which would finish the sample clustering based on the projected characteristic value.
以投影寻踪理论为基础，利用动态聚类方法构建投影指标，建立了水资源评价的投影寻踪动态聚类模型。
Secondly, a new projection index based on dynamic cluster rule is constructed in the PPDC model, which would finish the sample clustering based on the projected characteristic value.
在一个简单投影指标下，用新的优化途径建立了多元数据分类模型，并将其用于多指标的标准水质分类。
We have evaluated this clustering for several sample queries that restrict their search to a single group_PDB value (i.e., "HETATOM") and found that it can improve query performance fourfold.
我们已经通过几个将搜索限制于单个group _ PD b值(即hetatom)的样例查询评估了这种集群并发现它能够将查询性能提高四倍。
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