发明申请
- 专利标题: NOISE-ENHANCED CLUSTERING AND COMPETITIVE LEARNING
- 专利标题(中): 噪声增强和竞争性学习
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申请号: US14553890申请日: 2014-11-25
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公开(公告)号: US20150161232A1公开(公告)日: 2015-06-11
- 发明人: Bart Kosko , Osonde Osoba
- 申请人: Bart Kosko , Osonde Osoba
- 申请人地址: US CA Los Angeles
- 专利权人: UNIVERSITY OF SOUTHERN CALIFORNIA
- 当前专利权人: UNIVERSITY OF SOUTHERN CALIFORNIA
- 当前专利权人地址: US CA Los Angeles
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06N3/08 ; G06F17/10 ; G06T7/00 ; G06K9/62
摘要:
Non-transitory, tangible, computer-readable storage media may contain a program of instructions that enhances the performance of a computing system running the program of instructions when segregating a set of data into subsets that each have at least one similar characteristic. The instructions may cause the computer system to perform operations comprising: receiving the set of data; applying an iterative clustering algorithm to the set of data that segregates the data into the subsets in iterative steps; during the iterative steps, injecting perturbations into the data that have an average magnitude that decreases during the iterative steps; and outputting information identifying the subsets.