A Greedy Algorithm for Hierarchical Complete Linkage Clustering

被引:0
|
作者
Althaus, Ernst [1 ]
Hildebrandt, Andreas [1 ]
Hildebrandt, Anna Katharina [2 ]
机构
[1] Johannes Gutenberg Univ Mainz, Inst Informat, D-55122 Mainz, Germany
[2] Max Planck Inst Informat, D-66123 Saarbrucken, Germany
来源
关键词
bioinformatics; algorithm-engineering; clustering; unsupervised machine learning; GENE-EXPRESSION DATA; EFFICIENT ALGORITHM; CONFORMATIONS; DYNAMICS; DOCKING;
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We are interested in the greedy method to compute an hierarchical complete linkage clustering. There are two known methods for this problem, one having a running time of O(n(3)) with a space requirement of O(n) and one having a running time of O(n(2) log n) with a space requirement of circle minus(n(2)), where n is the number of points to be clustered. Both methods are not capable to handle large point sets. In this paper, we give an algorithm with a space requirement of O(n) which is able to cluster one million points in a day on current commodity hardware.
引用
收藏
页码:25 / 34
页数:10
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