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An Improved Hybrid Canopy-Fuzzy C-Means Clustering Algorithm Based on MapReduce Model
Dai, Wei,Yu, Changjun,Jiang, Zilong Korean Institute of Information Scientists and Eng 2016 Journal of Computing Science and Engineering Vol.10 No.1
The fuzzy c-means (FCM) is a frequently utilized algorithm at present. Yet, the clustering quality and convergence rate of FCM are determined by the initial cluster centers, and so an improved FCM algorithm based on canopy cluster concept to quickly analyze the dataset has been proposed. Taking advantage of the canopy algorithm for its rapid acquisition of cluster centers, this algorithm regards the cluster results of canopy as the input. In this way, the convergence rate of the FCM algorithm is accelerated. Meanwhile, the MapReduce scheme of the proposed FCM algorithm is designed in a cloud environment. Experimental results demonstrate the hybrid canopy-FCM clustering algorithm processed by MapReduce be endowed with better clustering quality and higher operation speed.
An Improved Hybrid Canopy-Fuzzy C-Means Clustering Algorithm Based on MapReduce Model
Wei Dai,Changjun Yu,Zilong Jiang 한국정보과학회 2016 Journal of Computing Science and Engineering Vol.10 No.1
The fuzzy c-means (FCM) is a frequently utilized algorithm at present. Yet, the clustering quality and convergence rate of FCM are determined by the initial cluster centers, and so an improved FCM algorithm based on canopy cluster concept to quickly analyze the dataset has been proposed. Taking advantage of the canopy algorithm for its rapid acquisition of cluster centers, this algorithm regards the cluster results of canopy as the input. In this way, the convergence rate of the FCM algorithm is accelerated. Meanwhile, the MapReduce scheme of the proposed FCM algorithm is designed in a cloud environment. Experimental results demonstrate the hybrid canopy-FCM clustering algorithm processed by MapReduce be endowed with better clustering quality and higher operation speed.
Mingfeng Xiang,Yanqun Huang,Changjun Dai,Gaode Zou 대한약학회 2021 Archives of Pharmacal Research Vol.44 No.2
MicroRNA(miR)-340 is known as a multifunctionalmiRNA related to various types of cancer while itsrole in renal cell carcinoma (RCC) remains to be furtherinvestigated. In the present study, an apparent increase inmiR-340 expression was observed in both clear cell RCCtissues and RCC cell line 786-O and Caki-1. Functionally,the overexpression of miR-340 promoted cell proliferation,migration, invasion, extracellular alanine (Ala) level, andglycolysis level in 786-O cells. Then, frizzled class receptor3 (FZD3) was determined as the target gene of miR-340 andits expression level was negatively regulated by miR-340. The FZD3 silencing abrogated the inhibitory eff ect of miR-340 knockdown on cell proliferation, migration, invasion,Ala level, and glycolysis level in 786-O cells. In conclusion,miR-340 promotes proliferation, migration, and invasion ofRCC cells via suppressing FZD3 expression, and the promotioneff ect of miR-340 on RCC progression may be due to itsregulatory eff ect on glycolysis and Ala level.