自动聚类

本文试图对自组织映射神经网络（SOM）应用于汉语名词语义自动聚类做某些改进。

This paper tries to make some improvements on applying Self-Organizing-Map ( SOM ) to automatic clustering of Chinese nouns , so as to generate a better Chinese semantic map .

基于信息熵的连续属性自动聚类算法

Automatic Clustering Algorithm for Continuous Attributes Based on Entropy of Information

针对Web文档数据的复杂性，本文提出了通过二次特征提取和聚类的方法，将Web文档按照主题进行自动聚类。在主题特征被有效提取的同时，实现了较高质量的Web文档聚类。

Considering the complexity of Web documents , we offer a method of feature re-select and document re-cluster and perform a good Web clustering .

应用K均值自动聚类算法，提出了一种新的基于轨迹空间相似距离的轨迹分类算法，对以上获得的有效轨迹进行分类。

Using K Means which can automatically cluster trajectories , a new algorithm based on trajectory space similarity distance is presented , and it is applied to classify trajectory .

本文在文本聚类的基础上对XML文档自动聚类进行了研究，对划分聚类法和层次聚类法进行了改进，使之适合于XML文档聚类；

On the basis of text cluster , the author makes an exploratory research on XML documents cluster , through the improvement on partition cluster and layer cluster , makes them can use on XML documents cluster .

基于Hopfield神经网络的自动聚类图象分割算法研究均值偏移法在核磁共振图象分割中的应用

Study on automatic gathering image segmentation calculation method base on Hopfield neural network Application of mean shift clustering algorithm in segmentation of tagged MR image

该文针对基于RSS标准的新闻源，根据用户点击等隐式信息，通过文本相似判定，自动聚类形成用户兴趣子类。

In this paper , we use the news source based on RSS and cluster all the news into several User Interest Classes ( UIC ) according to user 's clicks or other implicit information , by using the judgment of text comparability .

应用改进的GEP算法在不需要先验知识的条件下对数据样本进行自动聚类，最后通过两组实验来验证此方法在自动聚类中的应用是非常有效的。

Without any prior knowledge , Improved Gene Expression Programming is used to solve clustering automatically on various data sets . Finally , two kinds of clustering data are experimented to verify the effectiveness of the proposed approach .

论中文信息动态自动聚类的特点和方法体系

Dynamic Automatic Clustering of Chinese Characters : Characteristics and Methodological System

基于拓扑约束理论的森林小班自动聚类分析

The Auto - clustering Analysis of Subcompartment Based on the Constrained Theory

基于控制词集的中文信息动态自动聚类研究

Research on Chinese Document Dynamic Clustering Under Controlled Vocabularies

真实场景运动目标轨迹有效性判断与自动聚类算法研究

Automatic Validating and Clustering Method for Trajectories of Moving Objects in Real Scene

基于采样算法和自动聚类算法的网络流量监测模型

Network Traffic Monitoring Model Based on the Sampling Algorithm and Automatic Clustering Algorithm

这给互联网信息的管理提供了一种有效的自动聚类方法。

This provides an effective method of the automatic clustering for Internet information management .

一种新的中文词自动聚类算法

A New Algorithm of Chinese Words Automatic Clustering

一种使用自动聚类思想的自动文摘方法

An Automatic Summarization Method Using Automatic Clustering Thought

查询优化与动态自动聚类系统

On the Refine and Dynamic Automatic Clustering System

这是一种无监督的分割方法，通过自组织神经网络的自动聚类功能实现图像的分割。

This is an unsupervised segmentation method , which can segment images through clustering automatically .

实现计算机的遥感图像自动聚类是一个热门的具有挑战性的研究领域。

It is a challenging research area of remote sensing image automation clustering by computer .

另一类则是基于机器的自动聚类。

The other one is automatic clustering .

该方法将自动聚类算法与对称距离相结合优化每个隐含层神经元的中心向量；

The method combined auto-clustering algorithm (( ACA )) and symmetry distance to improve each hide layer neuron ;

本文利用改进的信息增益特征选择方法和潜在语义索引技术组合的特征提取方法，对文本进行了有效的自动聚类。

This paper applies the Improved Information Gain method and Latent Semantic Indexing method to the text clustering .

本文首先介绍了基因表达式编程算法，然后将其改进后应用于求解作业车间调度问题和自动聚类问题。

Then , Gene Expression Programming is improved and proposed to solve job shop scheduling problem and automatic clustering problem .

聚类可以看作最优化问题，因此本文利用微粒群智能优化方法来解决自动聚类问题。

Clustering can be regarded as an optimization problem . So , this paper aims to deal with automatic clustering problem using particle swarm optimization .

网络由2级神经网络构成：第1级为子类自动聚类结构自组织模糊神经网络；

This network is composed of two levels neural network : the first level is a self-organizing fuzzy neural network which has the automatic clustering structure for sub-class ;

基于人工智能的信息内容的自动聚类、分类和文摘，以及深层次的知识检索为迎接这个挑战提供了新的支撑技术。

The technique of clustering , classification and abstracting based on AI , and so - called Knowledge Indexing technique , seemed as good approaches to solve such problems .

分析了用户兴趣自动聚类问题的特点，指出现有经典聚类算法大都难以满足用户兴趣自动聚类的需求。

The characteristics of user interests automatic clustering are analyzed , which highlight that most of the classical clustering algorithms can not address the requirements of user interests automatic clustering .

本文对经典聚类算法作了综合分析，在此基础上做出了算法改进，提出了用户兴趣自动聚类的一种基于图像的方法。

After the analyzing the classical cluster 's algorithm , and improving algorithms , this paper proposes a method based on picture of the automatic cluster of user 's interest .

现实中的许多数据信息是十分复杂的，数据集的类别数目事先无法确定或很难得到，在这种情况下，自动聚类算法应运而生。

Many of the real data information are very complex , and the number of classes is very difficult to obtain , in this case , the automatic clustering algorithm emerged .

以专用词典为切分工具，建立以概念为基础的、具有主题分类特点的类目结构是中文信息动态自动聚类的一种适用方式。

One applicable way for Chinese Document dynamic clustering , is to use special dictionaries as segmenting tools and establish a structure with a conceptual base as well as topic category style .