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clustering相关的网络例句

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与 clustering 相关的网络例句 [注:此内容来源于网络,仅供参考]

When the difference of the date size is large. The small class may be misclassified or may be merged into big class in fuzzy kernel clustering algorithm.

该方法针对传统模糊核聚类算法当数据类差别很大时,小数据类被误分或被大数据类吞并的缺陷,通过定义一个新的目标函数,为每一个类分配了一个动态权值,可改善聚类效果。

The clustering factor is used by the optimiser to determine how best to access data in an INDEX RANGE SCAN.

优化器利用簇因子(来自USER_INDEXES)来决定在一次INDEX RANGE SCAN中如何最好的访问数据。

An automatic algorithm was used in the analysis to identify clusters of groupings of patients. We used the classical unsupervised clustering method called the Iterative Self-organizing analysis technique of DATA analysis originally introduced by Ball and Hall.25 The technique allows the splitting and merging of clusters while trying to find the "best" configuration. It therefore, requires very little a priori knowledge about the data and predefining the possible number of clusters or groups is not required. The range of possible minimum and maximum number of clusters within which the algorithm can search for an optimal configuration was determined by a procedure called the chainmap which reorders the multidimensional data in the form of a 2D distance map.26 A patient vector is randomly selected and its nearest neighbor is identified as that with the shortest distance between the 2 patients' vectors.

使用自动算法来分析鉴别患者组的聚类,我们使用经典的最初由Ball和Hall提出的的非监控聚类方法,该技术允许在寻找&最佳&形态使对聚类进行拆分和组合,他不需要对数据专门的知识和对聚类或群的可能数量进行预设,在聚类可能的最大和最小范围内,算法可以通过一个叫Chainmap的程序寻找最理想的形态,该程序记录了来自2D距离图的多维数据。

Principal Component Analysis and Fuzzy Clustering were used to evaluate the drought tolerance of 16 foxtail millet cultivars based on their performance under the conditions of rainfed and water limited cultivation under rainout shelter.

采用主成分分析(Principal Components Analysis,PCA)和模糊聚类(Fuzzy Clustering,FC)分析,根据16个谷子品种在干旱胁迫和自然降水条件下的抗旱相关性状对其抗旱性进行综合评价。

From this perspective of view, one speedup algorithm of Spectral Clustering is proposed.

在此基础上,提出了加速的谱聚类算法。

Further, we present a method of facial components classification by integrating subspaces selection and clustering.

通过整合子空间选择和数据聚类,提出了一种五官分类匹配方法。

Verifications are made on a real basket data-set, and the experimental results show that the proposed algorithm improves the clustering quality and efficiency.

在实际的购物篮数据集上进行了验证;实验结果表明,所提算法在保证聚类效率的同时,大幅度提高了聚类质量。

Based on the hierarchical clustering limitations, launched a desc...

本文基于层次聚类的局限性,展开了描述,然后提出了解决办法。

Using a binary tree data structure, attributes means clustering alg...

采用二叉树数据结构,属性均值聚类算法在图象识别中的应用。

Objective: To study the relationship between insuli n resistance and clustering of risk factors of cerebrovascular disease.

目的:探讨胰岛素抵抗与脑血管病危险因素聚集性的关系。

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