Then, the thesis USES ant colony algorithm which is based on the elicitation of ant's feeding to solve the clustering problem.
然后成功地将聚类问题转换成蚁群求解问题，并使用基于蚂蚁觅食启发的蚁群算法进行聚类分析。
Base on solving the problem of degree-constrained minimum spanning tree, we put forward a new method to solving clustering problem.
还在求解度限制树问题的基础上，提出了基于蚂蚁算法的聚类分析方法。
Experimental results show this algorithm is equal to DBSCAN, and can solve the increment clustering problem when the batch data is updated effectively.
实验结果表明，该算法与DBSCAN是等价的，能更有效地解决批量数据更新时的增量聚类问题。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well.
但由于岩爆问题环境的复杂性，岩爆预测的聚类问题是一个复杂的模糊、随机优化问题，采用传统方法难免带来很多局限性。
Even their clustering solution doesn't help with this type of storage corruption because it's not file access, but file content (message store data) that's the problem.
即便它们的集群解决方案也不能解决这个问题，因为这不是文件访问问题，而是文件内容(消息存储数据)问题。
Clustering across a WAN is not a problem, as long as you have sufficient WAN network bandwidth to handle the replication traffic.
只要您有足够的WAN带宽处理复制流量，也可以实现跨wan网络的集群。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
Clustering is a data mining problem that has received significant attention by the database community.
聚类作为数据挖掘的一个问题已经受到了数据库团体的密切关注。
A cluster validity function-based method is proposed for solving the problem of clustering for area geographical entities when the number of cluster is unknown.
为解决聚类数未知条件下面状地理实体的聚类问题，文中提出了一种基于聚类有效性函数的聚类方法。
To solve the problem that support vector machine(SVM) can only classify the small samples set, a new algorithm which applied SVM to density clustering is proposed.
为了解决支持向量机的分类仅应用于较小样本集的问题，提出了一种密度聚类与支持向量机相结合的分类算法。
Seven kinds of spatial data clustering approaches are studied. And the technique to solve the problem of Constraint-based Spatial Cluster Analysis is explored.
系统研究了七种典型的空间数据聚类方法，积极探索基于约束条件的空间聚类问题的解决方案；
There are also categories that have the same name that describes the problem and the class of algorithm such as Regression and Clustering.
也有一些算法的名字既描述了它处置的问题，也是某一类算法的名称，好比回归和聚类。
The reasonableness of clustering result is belongs to cluster validity problem.
数据集的聚类结果是否合理的问题属于聚类有效性问题。
In order to solve the problem, we carry out the clustering operation to the matching centers by the improved clustering method, and thus get the unique geometry center.
为了解决这一问题，利用改进的聚类方法，对匹配中心进行聚类，从而得到图形唯一的几何中心。
For many clustering algorithms, it is very important to determine an appropriate number of clusters, which is called cluster validity problem.
对于许多聚类算法，决定合适的聚类数目至关重要，这称为聚类有效性问题。
The problem of pattern-based subspace clustering, a special type of subspace clustering that uses pattern similarity as a measure of similarity, is studied.
研究了基于样式相似性的子空间聚类问题，使用样式相似性作为相似性度量。
The hierarchical clustering method is applied to deal with the problem that the solution of MLS-SVM is lack of sparseness.
运用谱系聚类方法解决多核最小二乘支持向量机的解缺乏稀疏性的问题。
Using fuzzy clustering method analysis the case reconnaissance data, the problem of reconnaissance data automatically cluster is solved.
利用模糊聚类方法对案件侦察数据进行了分析，解决了侦察数据自动聚类分析问题。
A bulletin board system(BBS) hot topic mining algorithm based on fuzzy clustering was developed to solve the problem of the post thread with multiple topics and identifying the outliers in clustering.
为解决单个帖子线索的多话题性问题，识别聚类中的孤立点，提出一种基于模糊聚类的网络论坛（BBS）热点话题挖掘算法。
Document clustering description is a problem of labeling the clustered results of document collection clustering.
标注文本集合聚类后生成的类簇被称为聚类描述问题。
This thesis deals with gray image. The kernel of segmentation is pixel clustering. It belongs to optimization problem.
本文处理的对象是灰度图像，分割的核心是对像素进行聚类，属于优化问题。
Based on the idea of repeated matching and clustering arithmetic, the heuristic rules and heuristic algorithm for packing and scheduling problem are put forward.
利用重复匹配算法、聚合算法等启发式方法，提出了布局调度操作的启发式规则及相应的启发式算法。
This article puts forward a clustering algorithm toc heck outlier based on similar coefficient sum and it efficiently solves this problem.
该文提出了一个基于相似系数和检测孤立点的聚类算法，有效地解决了这个问题。
The performance shows that D-CURE algorithm can effectively resolve the clustering partition problem in distributed environment.
实验证明，D-CURE算法可以很好地解决分布式环境下聚类分区问题。
The performance shows that D-CURE algorithm can effectively resolve the clustering partition problem in distributed environment.
实验证明，D-CURE算法可以很好地解决分布式环境下聚类分区问题。
应用推荐