QQ客服 官方微博 反馈留言

	Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches
	Guan, Chun; Yuen, Kevin Kam Fung; Coenen, Frans
刊名	Swarm and Evolutionary Computation
	2019
卷号	44页码:876-896
关键词	Appropriate fitness function Density-based Clustering Density-based spatial clustering of applications with noise Imbalanced dataset Optimization problems Parameter-tuning Pattern recognition technologies Supervised and unsupervised learning
ISSN号	2210-6502
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2828204
专题	西安交通大学
推荐引用方式 GB/T 7714	Guan, Chun,Yuen, Kevin Kam Fung,Coenen, Frans. Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches[J]. Swarm and Evolutionary Computation,2019,44:876-896.
APA	Guan, Chun,Yuen, Kevin Kam Fung,&Coenen, Frans.(2019).Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches.Swarm and Evolutionary Computation,44,876-896.
MLA	Guan, Chun,et al."Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches".Swarm and Evolutionary Computation 44(2019):876-896.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。