聚类标准与算法。

Clustering criteria and algorithms.

作者信息

Carugo Oliviero

机构信息

Department of General Chemistry, Pavia University, Pavia, Italy.

出版信息

Methods Mol Biol. 2010;609:175-96. doi: 10.1007/978-1-60327-241-4_11.

DOI:10.1007/978-1-60327-241-4_11

PMID:20221920

Abstract

Cluster analysis is an unsupervised pattern recognition frequently used in biology, where large amounts of data must often be classified. Hierarchical agglomerative approaches, the most commonly used techniques in biology, are described in this chapter. Particular attention is put on techniques for validating the optimal cluster number and the clustering quality.

摘要

聚类分析是一种无监督模式识别方法，常用于生物学领域，该领域常常需要对大量数据进行分类。本章将介绍生物学中最常用的层次凝聚方法。特别关注验证最优聚类数和聚类质量的技术。