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。

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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

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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

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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

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So the bad news is clustering thick and fast.

坏消息来的总是又快又集中.

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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.

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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.

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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.

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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。

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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.

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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.

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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。

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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.

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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.

词典精选例句

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

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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。

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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.

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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。

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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

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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.

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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.

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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

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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.

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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

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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.

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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

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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.

词典精选例句

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

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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.

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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。

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