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 ZHOU YUCHEN, FU YUXIANG, HE GUOQIANG, LI WEI, LI LI, HE SHUZHUAN
Format Patent
LanguageChinese
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
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
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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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