With the clustering feature analyzed, restrained function and pattern similarity are introduced. Then the algorithm of improved FCM is presented.
通过对模糊c均值算法聚类特性的分析，引入了约束函数及模式相似度的概念，提出了改进的FCM算法。
The algorithm divides tag co -occurrence network based on tag node's centrality and similarity, and automatically generates a cluster feature tag after clustering to represent that cluster.
算法基于标签节点的核心度和相似性对标签共现网络进行分割，并在聚类后自动生成该类的特征标签来代表该类簇。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
本文讨论了基于自组织特征映射网络聚类算法的基本原理，并指出了算法的缺陷。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
The novel feature distinguishes relative distribution between in-phase and quadrature components and lightens the great influence caused by noise and other random factor in clustering algorithm.
将截获信号的直观几何特征（星座图）映射到变换域中，可区别不同调制内部的同相正交分量的相对关系，避免了聚类算法受噪声干扰和其他随机因素影响。
This paper proposes CF-WFCM algorithm including feature weight learning algorithm and clustering algorithm.
提出CF-WFCM算法，该算法分为属性权重学习算法和聚类算法两部分。
In this paper, we propose a model-based, self organizing feature map algorithm for the clustering of variable-length sequences.
本文提出一种基于模型的、适合变长符号序列的自组织聚类算法。
Firstly, RAC and K-means clustering method are combined in this algorithm by the way of searching pre-matches feature points, which are called the cluster point set, of the unknown model.
此算法首先结合RAC和K -均值聚类方法对未知模型的特征点进行预匹配，得到的匹配结果称为聚类点集。
By analyzing the origin and feature of outliers, a concept of exceptional contribution degree is defined and then an algorithm for re-clustering outliers based on feature weighting is proposed.
通过对离群数据来源及特性进行分析，定义了离群贡献度的概念，提出了一种基于特征赋权的离群数据再聚类算法。
In order to divide the telecom customers effectively, a new clustering algorithm for complex attributes was proposed based on feature similarity measurement idea in this paper.
针对电信客户的有效细分问题，利用属性相似度度量思想，提出了一种面向复杂属性的聚类算法。
A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
提出一种量子自组织特征映射网络模型及聚类算法。
We bring out our video retrieval method based on multi-feature data association histogram and C-Mean fuzzy clustering algorithm.
基于多特征联合分布直方图理论和模糊c -均值聚类算法，我们提出了新的视频流模糊检索方法。
We bring out our video retrieval method based on multi-feature data association histogram and C-Mean fuzzy clustering algorithm.
基于多特征联合分布直方图理论和模糊c -均值聚类算法，我们提出了新的视频流模糊检索方法。
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