Partition coefficient is a common method for clustering validity test.
划分系数是聚类有效性检测中常用方法之一。
In this paper, cluster ensemble methods based on hierarchical clustering and clustering validity have been studied.
本文对基于层次聚类的簇集成方法及聚类的有效性进行了研究。
This paper discusses the fuzzy C-means algorithm (FCM), one of the fuzzy clustering methods and clustering validity measurements.
本文讨论了模糊聚类中的模糊C均值算法和聚类有效性测度。
The evaluation of clustering validity is important for clustering analysis, and is one of the bottlenecks of clustering analysis.
聚类有效性评价对聚类分析具有重要意义，是聚类分析的瓶颈之一。
We choose at each step the merging of clusters that results in the greatest increase (or smallest decrease) of clustering validity index.
算法每步合并两个簇，使有效性函数值增加最大或减小最少。
Results: When fuzzy clustering number for 5-6 and fuzzy clustering validity achieved a minimum level of image processing with the best effect.
结果当模糊聚类数为5 ~6时，模糊聚类有效性函数最小，图像处理的效果达到最佳水平。
VQ Model Based on Clustering Validity Analysis: it's the flaw for the codebook training algorithm that the size of codebook is choosed artificially.
基于聚类有效性分析的VQ模型：VQ模型电码本的训练算法有一个弱点：电码本大小是人为指定的。
A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
To measure the clustering validity for the data of intuitionistic fuzzy sets, a technique of clustering validity was proposed based on intuitionistic fuzzy inclusion degree.
针对直觉模糊集合数据的聚类有效性问题，提出了一种基于直觉模糊包含度的聚类有效性分析方法。
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。
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 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。
Clustering techniques usually have to assign the number of clusters, but whether the result really reflects the classification of users needs verification on the validity of cluster.
聚类技术通常必须指定一个聚类个数，这样给出的聚类结果是否合理，是否真正反映了用户群的分类就需要进行聚类有效性的验证。
Cluster Analysis is argued to process based on Weighted Distance Coefficient and System Similarity methods to enhance the validity of the clustering result.
提出以加权距离和系统相似度量方法为基础进行聚类分析，提高聚类结果的有效性。
Two factors are considered in cluster-validity criterion to enhance the robustness of algorithm and the validity of clustering, one is fuzzy membership and the other is geometric property.
新的目标准则函数考虑了数据集样本的模糊隶属关系和样本几何分布两个方面的因素，使算法的鲁棒性和分类的正确性大大加强。
Cluster validity index is used to scale the validity of clustering, and determine the number of clusters.
聚类有效性指标既可用来评价聚类结果的有效性，也可以用来确定最佳聚类数。
Further more, this method can determine the best clustering number using the validity function in training progress.
同时，算法可以在训练过程中通过有效性函数自适应地确定最佳聚类数目。
In this paper, we propose a new clustering algorithm based on cluster validity indices, which obviates the needs for cluster parameters.
本文提出了一种新的基于有效性指数的聚类算法，无需提供聚类的参数。
The experiment results demonstrate its validity over directional higher-dimension data clustering.
实验结果表明，该算法能有效地对高维的方向性数据进行聚类。
Sometimes, the definition of similarity in the clustering algorithm is not consistent with that in the cluster validity index, so that the value of index is useless in this case.
聚类算法与聚类评价指标所采取的相似性定义往往并不一致，这就导致了在某种意义下聚类评价指标的无用性。
Sometimes, the definition of similarity in the clustering algorithm is not consistent with that in the cluster validity index, so that the value of index is useless in this case.
聚类算法与聚类评价指标所采取的相似性定义往往并不一致，这就导致了在某种意义下聚类评价指标的无用性。
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