Patent Document ID: 10037345
Application ID: 14532271
Patent Status: 1

Claim One:
1. A clustering method for applying to a plurality of classes of images, comprising: performing, by a processor of a device, an iterative merge on the classes of images according to inter-class Rank-Order distances; obtaining, by the processor of the device, an intra-class convergence degree of each class of images obtained by the iterative merge, based on inter-object distances in the class, wherein each class of images includes one or more images as objects; grouping, by the processor of the device and for each class of images obtained by the iterative merge, images in the class that have a distance smaller than the intra-class convergence degree of the class into a new class, thereby to perform an update on the classes; if a number of the classes after the update is smaller than a number of the classes before the update, repeating the performing of the iterative merge, the obtaining, and the grouping, until the numbers of the classes before and after an update are the same, to obtain a clustering result, the clustering result including one or more classes each containing a plurality of images and one or more classes each containing a single image.