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Finding biologically accurate clusterings in hierarchical tree decompositions using the variation of information

机译：使用信息的变化在分层树分解中找到生物学上准确的聚类

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Saket Navlakha; James White; Niranjan Nagarajan; Mihai Pop; Carl Kingsford;
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年度 2009
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1. Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information [J] . Carl Kingsford, James White, Mihai Pop, Journal of computational biology . 2010,第3期

机译：使用信息变化在分层树分解中找到生物精确的聚类
2. Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R [J] . Langfelder P, Zhang B, Horvath S Bioinformatics . 2008,第5期

机译：从分层集群树定义集群：R的Dynamic Tree Cut包
3. Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R [J] . Peter Langfelder, Bin Zhang, and Steve Horvath Bioinformatics . 2008,第5期

机译：从分层集群树定义集群：R的Dynamic Tree Cut软件包
4. Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information [C] . Saket Navlakha, James White, Niranjan Nagarajan, Research in computational molecular biology . 2009

机译：使用信息变化在分层树分解中找到生物精确的聚类
5. A minimum spanning tree based clustering algorithm for high throughput biological data. [D] . Pirim, Harun. 2011

机译：用于高通量生物数据的基于最小生成树的聚类算法。
6. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm Minimum Spanning Tree and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法最小生成树和分层聚类的三种混合方法的比较
7. Exploiting Hierarchical Clustering for Finding Bounded Diameter Minimum Spanning Trees on Euclidean Instances [O] . Martin Gruber, Günther R. Raidl 2012

机译：利用层次聚类在欧氏实例中寻找有界直径最小生成树

Finding biologically accurate clusterings in hierarchical tree decompositions using the variation of information

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