K-means + + centroid initialization-based k-means algorithm hardware implementation method and system
The invention relates to a k-means + + centroid initialization-based k-means algorithm hardware implementation method and system, and the system comprises: a main control module which provides controland reconstruction information for algorithm implementation; a storage control module which is used...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
17.04.2020
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Abstract | The invention relates to a k-means + + centroid initialization-based k-means algorithm hardware implementation method and system, and the system comprises: a main control module which provides controland reconstruction information for algorithm implementation; a storage control module which is used for controlling data transmission and storage; a centroid initialization module which is used for initializing a centroid based on a k-means + + algorithm; a clustering operation module which is used for obtaining a clustering result based on distance comparison; a centroid updating module which isused for calculating and updating the centroid through the average value of each category; and a threshold comparison module which is used for judging whether the centroid converges or not. Accordingto the hardware implementation method, the parallelism of hardware is fully utilized, a k-means + + centroid initialization scheme is used for replacing a random centroid initialization scheme, and the algorithm convergence sp |
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AbstractList | The invention relates to a k-means + + centroid initialization-based k-means algorithm hardware implementation method and system, and the system comprises: a main control module which provides controland reconstruction information for algorithm implementation; a storage control module which is used for controlling data transmission and storage; a centroid initialization module which is used for initializing a centroid based on a k-means + + algorithm; a clustering operation module which is used for obtaining a clustering result based on distance comparison; a centroid updating module which isused for calculating and updating the centroid through the average value of each category; and a threshold comparison module which is used for judging whether the centroid converges or not. Accordingto the hardware implementation method, the parallelism of hardware is fully utilized, a k-means + + centroid initialization scheme is used for replacing a random centroid initialization scheme, and the algorithm convergence sp |
Author | LI LI ZHOU YUCHEN HE GUOQIANG HE SHUZHUAN FU YUXIANG LI WEI |
Author_xml | – fullname: ZHOU YUCHEN – fullname: FU YUXIANG – fullname: HE GUOQIANG – fullname: LI WEI – fullname: LI LI – fullname: HE SHUZHUAN |
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DocumentTitleAlternate | 一种基于k-means++质心初始化的k-means算法硬件实现方法及系统 |
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Snippet | The invention relates to a k-means + + centroid initialization-based k-means algorithm hardware implementation method and system, and the system comprises: a... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
Title | K-means + + centroid initialization-based k-means algorithm hardware implementation method and system |
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