Computerized cluster analysis framework for decorrelated cluster identification in datasets

摘要

A computing device to automatically cluster a dataset is provided. Data that includes a plurality of observations with a plurality of data points defined for each observation is received. Each data point of the plurality of data points is associated with a variable to define a plurality of variables. A number of clusters into which to segment the received data is repeatedly selected by repeatedly executing a clustering algorithm with the received data. A plurality of sets of clusters is defined based on the repeated execution of the clustering algorithm that resulted in the selected number of clusters. A plurality of composite clusters is defined based on the defined plurality of sets of clusters. The plurality of observations is assigned to the defined plurality of composite clusters using the plurality of data points defined for each observation.