To solute these problems, we adapt the combination of Latent Semantic Analysis and Spectral Clustering.

In addition to the optimization need of the traditional spectral clustering, this paper researches the artificial immune system deeply.

针对传统谱聚类算法的优化需求，本文深入研究和分析了人工免疫系统。

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Then introduces spectral clustering algorithm based on deficiencies of variety of traditional clustering algorithms on intrusion detection.

然后分析了各种传统聚类算法在入侵检测中所表现的不足，并引入了谱聚类算法加以解决。

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Then get the reason of why spectral clustering algorithms were sensitive to the input order of data set.

由此给出了导致谱聚类算法对数据输入顺序敏感的原因。

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Using tools from the matrix analysis, matrix representations of the spectral clustering algorithms was given.

结合矩阵分析知识，还原了实施谱聚类算法过程中的矩阵表示。

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This paper presents a novel spectral clustering approach to motion segmentation based on motion trajectory.

文中提出了一种基于子空间聚类的运动分割算法。

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In recent years, the application of spectral clustering become more and more extensive.

谱聚类是近几年研究得比较多、应用逐渐广泛的一种聚类分析算法。

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In this paper, we do two aspects research based on spectral clustering algorithm. 1.

本文基于谱聚类算法做了以下两方面的研究。

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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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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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A novel ultrasound image segmentation algorithm, which is based on the spectral cluster ensemble, is proposed to segment ultrasound images with low SNR.

为了对低信噪比的超声图像进行有效分割，提出一种谱聚类集成的超声图像分割算法。

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Traditional target clustering generally utilizes hierarchical clustering method or K-means algorithm.

传统的目标编群一般采用层次聚类法和K-均值算法。

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Clustering User Behavior of Internet Cafes Based on Improved K-means Clustering Algorithm

基于改进后的K-means聚类算法的网吧用户行为聚类

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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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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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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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Improved Digital Image Watermarking Based on K-Means Algorithm

一种改进的K均值数字图像水印算法

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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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Detecting community in complex networks using K-means cluster algorithm

基于K-means聚类算法的复杂网络社团发现新方法

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Improved algorithm of rough K-means based on relative distance

基于相对距离的改进粗K-means方法

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Segmentation Algorithm for Green Apples Recognition Based on K-means Algorithm

基于K-均值聚类的绿色苹果识别技术

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