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聚类

网络clustering; K-means; Cluster Analysis

聚类

网络释义

聚类

clustering

聚类（clustering）就是将数据对象分组成为多个类或簇（cluster），在同一簇中的对象之间具有较高的相似度，而不同的簇中 …

K-means

中国人工智能学会 CAAI ... ACE-value 评测 K-means 聚类 phase-portrait 近似 ...

Cluster Analysis

...：将未知类别（甚至未知类别总数））：将未知类别聚类（cluster analysis）：将未知类别（甚至未知类别总数）的样本聚 …

hierarchical clustering

我这里提到的聚类分析主要是谱系聚类（hierarchical clustering）和快速聚类（K-means）、两阶段聚类（Two-Step）；聚类 …

Hierarchical cluster

聚类（Hierarchical cluster），聚类系数采用欧氏距离平

K-means clustering

...rchical clustering)、K 均值聚类(K-means clustering)、自组织图谱 SOM (self organizing map)、PCA (principle componet an…

例句：

Second, these features have been used K-L transform into a new domain and chose the main features for clustering .

然后对这些特征进行 K-L 变换，在新的变换域中选取其主要特征以备聚类时用。

The result of clustering showed that there was a long distance among those groups which showed the difference of geological origin .

聚类结果表明：越橘各种群间遗传距离相对较远，说明各种群地理起源上的差异。

By adopting FCM clustering algorithm, demonstrate that this approach has its advantage of high verification rate in palm print.

经过模糊 C 均值聚类方法验证，结果表明，该方法对于掌纹具有很强的识别能力。

Methods Polymorphic analysis was used for the commercial crude drug Bulbus Lilii with RAPD technique and a tree diagram was constructed .

方法采用 RAPD 技术对商品药材百合进行了多态性分析，并构建聚类树型图。

The technique models the distribution of human face patterns by means of a few view-based "face" model clusters .

这项技术使用了图像模型聚类的方式构造了人脸模式的分布。

As a method of multivariate statistical analysis, Q-mode hierarchical cluster analysis has always been widely applied to many fields.

型系统聚类分析已经越来越成为人们广泛应用的多元统计分析方法。

Hierarchical image retrieval extracts the Gauss mixture parameters of image class from that of images by clustering algorithm.

层次性图像检索在图片高斯混合特征的基础上通过聚类得到类的高斯混合特征。

Experiment results prove that this refined algorithm has better clustering results on multi-dimensional data set than SNN algorithm .

实验结果表明，RSNN 算法比 SNN 算法在时空数据集上具有更好的聚类效果。

The purpose of this paper is to give a topological view to the spatial clustering focusing on density based clustering with its variations .

本文针对基于密度的空间聚类及其变种提出了拓扑的概念。

Clustering analysis is one of the basic ways to understand things .

聚类分析是认识事物的基本途径之一。

Through comparing the results with gray-clustering analysis method, it is proven that this method can comprehensively ref. . .

与灰色聚类分析法进行结果比较，证明该方法更能综合反映水质评价信息，具有较大的适用性。

Instances show that this kind of algorithm is deterministic learning algorithm.

该方法是一种根据聚类结果确定学习顺序的方法。

Clustering analysis has been used in many field of life . K-Means cluster is classic partitioning Clustering.

聚类分析已经被广泛地应用于生活中的各个领域。

The experimental data were used for similarity calculation and hierarchical clustering analysis .

用于相似度计算和聚类分析实验数据。

It concludes that the result of fuzzy recognition and cluster is the same as the result of expert estimate through analyses of an example .

并通过实例分析进行验证，模糊识别聚类结果与专家评定结果是相吻合的。

The clustering algorithm considering the condition of planar adjacency relationship is defined again newly from the general clustering .

从聚类概念出发，重新定义了满足二维空间邻接条件聚类的概念。

Experiments have proved that this model has many advantages in clustering algorithm .

实验证明，该模型在聚类算法上有较大的优势。

For more information about this algorithm , see Microsoft Clustering Algorithm .

有关此算法的详细信息，请参阅 Microsoft 聚类分析算法。

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