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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]

In order to overcome the weakness of clustering in the WEKA system,the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在聚类方面的薄弱性,在WEKA的开源环境下进行二次开发,扩充了聚类算法。

Methods such as hierarchical agglomerative clustering, k-means clustering, the self-organizing map, and model-based methods have been used.

使用了诸如层次聚合聚类方法、k-均值聚类、自组织映射,和基于模型的方法。

Propose a new agglomerative hierarchical clustering based method to eliminate outliers,with clustering tree to identify outliers.

提出一种基于凝聚层次聚类消除孤立点的新方法,借助聚类树识别孤立点。

There were some improvements in divisive clustering method (Lillian Jane Lee 1997). And a agglomerative clustering method was presented.

2对Lillian Jane Lee(1997)的分裂型概率分层聚类算法进行改造,提出了一种聚合型概率分层聚类算法。

One algorithm used a modified COMO's matrix-clustering algorithm [9], while the other is average-linkage agglomerative clustering based on the similarity [10] among classes as a measure of distance.

其中一种演算法是运用修正过后COMO模式的矩阵群集演算法[9],而另一种是平均联结凝聚的群集方法,其距离是依类别之间的相似度做为量测基础[10]。

The result showed that the clustering degrees of the populations of Hippuris vulgaris,Eleocharis valleculosa and Blysmus sinocompressu increased first and then decreased from the invasive stage, settle ment stage to culminative developmental stage. While the clustering degree of the population of Suaeda glauca increased from seedlings to propagation in which the population appeared aggregation.

研究表明:杉叶藻、槽杆荸荠、华扁穗莞三种群由侵入期、定居初期到种群发育盛期的过程中,其集群程度先增大后减小,总体呈扩散的趋势;碱蓬种群,从幼苗到繁殖期,集群程度增大,呈聚集的趋势。

Under the guidance of DPRIF integrating strategy, we set up an integreted SOFM-SVM model. Then we analyzed and optimized the model from the aspects of operating mechanism, data interface and function expandedness. The PCA method was introduced to reduce dimensionality and extract features, then to strengthen the clustering explanation; defined a CMI index, to ascertain the most effective or the best clustering number; A new Anti-NO algorithm was proposed to recognize and to filter the suspecious data in the sample; The medium result of SVM model was used to extract the borderline datas between two classified groups. This research compensated for the achievements of data recognition including pattern data, noises data and borderline data.

在DPRIF整合策略指导下构建了一个整合的SOFM-SVM模型,对该模型从运作机制、数据接口、功能扩展几个方面进行分析和改进:引入PCA方法进行数据降维和特征提取,用以加强聚类解释;结合统计聚类中的聚类误差概念定义一个聚类数有效性指标,利用SOFM算法中间结果进行指标求解,以筛选出有效或最佳聚类数;提出一种新的噪声识别算法用于对样本中的异常数据进行甄别和过滤;利用SVM模型的中间结果提取分类边界数据;进一步充实了包括模式类、噪声集和边界在内的模式识别成果。

Result: Clustering analysis showed that clustering relations were far among different Gryllotalpa species and close among the same species from different regions,and there were close relations among the same species from near regions and between Teleogryllus emmus and G. orientalis .

结果 :聚类分析表明不同的蝼蛄种间聚类关系较远;虽异地但为同一种的蝼蛄聚类关系较近;相近地理位置所产蝼蛄,其聚类关系较近;混乱品种蟋蟀和东方蝼蛄的聚类关系较近。

In this paper,a novel clustering algorithm DBSB (Density Based Spatial Clustering Method with Heuristically Selecting Border Object) is proposed.The algorithm fastly expands the clusters by a heuristical function to choose core objects in the border region of the known core object,and then merge some clusters by border objects.

本文提出了一种启发式选择边界对象的快速空间聚类算法DBSB,通过一个启发式函数近似选择相对于某个已知核心对象边界区域中的核心对象和边界对象,通过核心对象的序列来快速地扩展它们所在的簇,直至找到一些较小的簇。

On the base of the analysis about the cause why this type of systems is hard to be controlled a new FNN, the FNN based on hyper-cylinder clustering, is presented. By comparison with the FNN based on hyper-sphere clustering, for any sample to be clustered, the FNN based on hypercylinder takes not only its input sample but also its output value into consideration. And so it is impossible for any two samples with'close'input samples and'estranged'output values to be clustered in the same cluster.

借助于对非线性系统模型Ⅱ不可逆情形下难以控制原因的分析,提出了基于超柱体聚类的模糊神经网络,与基于超球聚类的模糊神经网络相比,这种模糊神经网络在聚类时不仅考虑样本中的输入向量,也考虑样本的输出值,因此不会将输入向量较接近而输出值差异较大的两个样本聚为一类。

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