Hierarchical Clustering with P-Values via Multiscale Bootstrap
Resampling
Ryota Suzuki <suzuki@ef-prime.com>,
        Yoshikazu Terada <terada@sigmath.es.osaka-u.ac.jp>, 
        Hidetoshi Shimodaira <shimo@i.kyoto-u.ac.jp>
An implementation of multiscale bootstrap resampling for
             assessing the uncertainty in hierarchical cluster analysis.
             It provides SI (selective inference) p-value, AU (approximately unbiased)
             p-value and BP (bootstrap probability) value for each cluster in a dendrogram.