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：

ALGORITHMS FOR COMPUTATIONAL BIOLOGY | 2014年 / 8542卷

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

页码：25 / 34

页数：10

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