METHOD OF IDENTIFYING ROBUST CLUSTERING

摘要

A method of finding robust clusters comprises the use of principal component analysis and consensus ensemble clustering. In another aspect, the method may comprise normalizing a data set; identifying attributes of the data set that contribute to most of variation in the normalized data set; selecting data having the attributes that contribute to most of variation in the normalized data set; identifying a plurality of clusters from the selected data using consensus ensemble clustering; and identifying robust clusters from the plurality of clusters. The method can be used in healthcare and life science.