聚类融合

cluster variable───星团变星

clusteringly───聚集在一起

tout ensemble───全体效果；全体一起；概观（法语）

blistering heat───酷热

blistering pace───惊人的步伐

blusteringly───气势汹汹

cluster bomb───子母弹；[军]集束炸弹

After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.───从聚类多样性和共识函数两方面综述了最新研究进展，探讨将神经网络组合的思想用于聚类组合。

Main works are as follows. A clustering ensemble algorithm based on prior knowledge and spectral analysis is proposed.───具体工作如下：提出了一种基于先验信息和谱分析的聚类融合算法。

Taking the one-pass clustering algorithm as the basic algorithm for grouping data, the issue of clustering ensemble is investigated.───以一趟聚类算法作为划分数据的基本算法，讨论聚类融合问题。

As a rapidly developing new area, clustering ensemble has become an important research in ensemble learning.───聚类集成作为一个迅速发展的新领域，已成为集成学习中一个重要的研究方向。

After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.───本文在分析传统聚类算法的基础上，提出了一种聚类融合算法。

In this paper, a clustering ensemble algorithm based on self-organizing feature map (SOM) is proposed.───本文提出一种基于自组织特征映射（SOM）的聚类集成算法。

A Clustering Ensemble Based Unsupervised Feature Selection Approach───一种基于聚类集成的无监督特征选择方法

After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.

Recent researches and experiments show that clustering ensemble approaches can enhance the robustness and stabilities of unsupervised learning greatly.