ALEXANDRIA, Va., July 9 -- United States Patent no. 12,353,966, issued on July 8, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Spectral clustering of high-dimensional data" was invented by Vasileios Kalantzis (White Plains, N.Y.) and Lior Horesh (North Salem, N.Y.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A processor performing machine learning including spectral clustering can receive data from the sensor. Graph Laplacian of the data can be created and stored in a memory device. Spectral characteristic can be created by applying density of states and spectral gaps can be detected in an unsupervised manner in the spectral characteristic to determine r as number of clusters to c...