Correlation-Based Cluster Analysis Using Mixture of Constrained PCAs
Taku Yoshioka, Natsuko Kawase, Shin Ishii · 2002
In a cluster analysis, similarity measure must be appropriately specified. When dealing with gene expression time-series data, it is important for similarity measure to put more emphasis on the temporal behaviors than on the scale (magnitude) of the data. The correlation coefficient is one of the most popular similarity measure, which is insensitive to the scale. It is often used in hierarchical clustering.