Patent ID: 11921757
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A system comprising:
a first cloud computing network with at least one memory device configured to store instructions, and at least one microprocessor coupled to the memory device, the memory device and the at least one microprocessor collectively comprising a first computing resource within the first cloud computing network, the first computing resource further comprising primary memory and secondary memory, where execution of the stored instructions by the at least one microprocessor causes the first cloud computing network to:
retrieve, by at least one computer processor, a plurality of data records from a database, wherein the plurality of data records have been categorized by an unsupervised machine-learning algorithm, and wherein each data record of the plurality of data records has been designated a cluster number out of a total K number of clusters;
for each of a plurality of classification features, perform, by the at least one computer processor, a cluster-based analysis for a first cluster in the K number of clusters to determine proximity of data records between different clusters and overlap with the first cluster, with respect to a single feature, the cluster-based analysis comprising:
determining, by the at least one computer processor, an average and standard deviation, collectively, for all data records forming the first cluster, for the single feature; and
determining, by the at least one computer processor, an average for all data records in each other cluster in the K number of clusters, for the single feature;

generate, by the at least one computer processor, based on the cluster-based analysis, a single feature overlap score for each of the plurality of classification features based on a proximity of the first cluster to the other clusters in the K number of clusters and an amount of overlap of the first cluster with the other clusters in the K number of clusters; and
generate, by the at least one computer processor, a naming label for the first cluster based on a predetermined number of features having lowest overlap scores of the plurality of classification features.