clustering

BG K-Means is applied on this basis for data clustering analysis.

在此基础上，本人应用BGK-Means，对数据进行聚类分析处理。

Research in Improved Negative Selection Algorithm Based on K-means Clustering

基于K-均值聚类的改进非选择算法研究

Study and Application of k Value Optimization Based on the k-means Clustering Algorithm

基于k-means算法的k值优化的研究与应用

Research on Load Model Based on K-Means Clustering Algorithm

基于K-means聚类算法的负荷模型研究

So the bad news is clustering thick and fast.

坏消息来的总是又快又集中.

Clustering or segmentation of data is an important data mining application.

数据聚类或分割就是其中的一种重要的数据发掘应用.

The clustering method combines the density and the hierarchical clustering methods.

这种算法结合密度聚类和层次聚类两种思想.

Methods: Used to identify the clusters which should be distinguished are commonly called " clustering procedures ".

用于鉴定一些将要区分的聚群之方法通常称为 聚类 过程.

Finally, it presents a new idea uses the Hypergraph Spectral Clustering method to cluster web pages and tags.

提出了将超图谱聚类方法应用到网页及标签聚类中的新构想。

Consider the following two alternatives: asymmetric clustering and parallel clustering.

考虑以下二个选择: 不对称成群和平行成群.

This paper proposed a genetic clustering segmentation algorithm on entropy.

设计了一种基于熵的遗传聚类分割算法.

However, most existing algorithms on spectral clustering are not able to determine the number of clusters.

但是，大多数已有的谱聚类算法需要事先给定聚类数。

This paper proposed a genetic clustering image segmentation algorithm on entropy.

摘要设计了一种基于熵的遗传聚类分割算法.

Activation of lymphocytes and liver regeneration both involve perinuclear clustering of lysosmes.

淋巴细胞的激活以及肝脏的再生都与溶酶体在核周的集聚有关.

Application on K-means Text Clustering Algorithm in Intelligent Question Answering System

K-均值文本聚类算法在智能答疑系统中应用

K-mean methods are usually sensitive to initial clustering centers and propose bad results for irregular distributed samples.

K-均值算法受初始聚类中心的选择影响较大，对于不规则分布的样本往往聚类的效果不佳。

Clustering is an efficient method of data mining and text mining.

聚类是一种有效的数据挖掘和文本挖掘方法.

Experimental results show that K-means method can get good clustering image segmentation effect.

实验结果表明K-means方法可以取得好的聚类分割效果。

An Improved K-Means Clustering Algorithm for Detecting Community Structure

改进的K-均值聚类算法在社团划分中的应用

This paper introduced algorithms for video segmentation and scene clustering.

本文介绍了实现视频分割和场景聚类的算法.

It first introduces the concept of data clustering and data classification.

首先介绍聚类和分类的概念,然后讨论了十一种数据聚类方法.

An improved genetic K-means clustering algorithm based on image segmentation

改进的图像分割遗传K-均值聚类算法

Emphasis is placed on a new model-Ionization Ionization Clustering Cluster model.

重点考虑了径迹结构和能量沉积特点的新的细胞失活模型.

On the K-means Clustering of the Gene Expression Data Based on Genetic Algorithm

基于遗传算法的基因表达数据的K-均值聚类分析

Cluster validity index is used to evaluate the validity of clustering.

聚类有效性指标用于评价聚类结果的有效性.

Clustering Method of Time Series Based on EMD and K-means Algorithm

基于EMD与K-means算法的时间序列聚类

Many species cause pattern heterogeneity only by their growth form or their aggregation or shoot clustering.

大多数植物种许多种类在分布格局上不一致的原因,仅是由于它们的生长型或它们的聚生性或由于簇生性的不同.

Application of Rough Set and K-means Clustering in Image Segmentation

基于粗糙集的K-均值聚类图象分割方法

The house looks very beautiful with roses clustering round the window.

那些玫瑰花绕着窗户丛生,使这房子显得格外美丽.

The other algorithm is based on K-means clustering for human head back tracking.

其二，我们使用基于K平均聚类的目标跟踪算法对头部背后进行跟踪。