Ryan Allen

There is a need for more effective and efficient hierarchical clustering. This need can be addressed by, for example, solutions for performing interpretable hierarchical clustering. In one example, a method includes performing a group of hierarchical clustering routines to generate a group of final hierarchical clusters; for each cluster-feature pair of a group of cluster-feature pairs, determining an intra-cluster variable importance measure, an incremental representation measure, and an… Show more

There is a need for more effective and efficient hierarchical clustering. This need can be addressed by, for example, solutions for performing interpretable hierarchical clustering. In one example, a method includes performing a group of hierarchical clustering routines to generate a group of final hierarchical clusters; for each cluster-feature pair of a group of cluster-feature pairs, determining an intra-cluster variable importance measure, an incremental representation measure, and an overall variable importance based at least in part on the intra-cluster variable importance measure the incremental representation measure; generating predicted explanatory metadata for the group of hierarchical clustering routines based at least in part on each overall variable importance measure for each cluster-feature pair of the group of cluster-feature pairs; and performing one or more prediction-based actions based at least in part on the predicted explanatory metadata. Show less

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis by generating input processing rules using at least one of general clusters generated using all of a set of prediction input data objects, high-confidence clusters generated using… Show more

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis by generating input processing rules using at least one of general clusters generated using all of a set of prediction input data objects, high-confidence clusters generated using prediction input data objects having threshold-satisfying clustering confidence scores, and low-confidence clusters generated using prediction input data objects having non-threshold-satisfying clustering confidence scores. Show less