Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters

标题
Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters
作者
关键词
Cluster validation, Mixture model, Distance-based clustering, Markov chain, Mixed-type data, Spatial autocorrelation, Presence–absence data, 62H30, 62F03, 62F40
出版物
STATISTICS AND COMPUTING
Volume 25, Issue 4, Pages 821-833
出版商
Springer Nature
发表日期
2015-06-10
DOI
10.1007/s11222-015-9566-5

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started