Unsupervised high-dimensional behavioral data classifier

摘要

Methods for classifying subjects and analyzing the relation between subject classification and multiple features of the subjects are provided. Some embodiments of the disclosure provide processes that use clustering analysis as an unsupervised machine learning technique to classify subjects based on multiple features. Some embodiments may associate features of the subjects with a categorical variable on which subject groups are based. This association between the features and the categorical variable of interest (or subject groups) can be obtained by finding featured-based clusters that have similar members as the subject groups. Systems and computer program products implementing the methods are also disclosed.