Search Result

1

Density-based clustering algorithm based on groups and improve gravitational search

基于分组和IGSA的并行密度聚类算法

Hu Chun'an

Wang Jiaxin

Mao Yimin

big data

density-based clustering algorithm

GSP

IGSA

MR-CTMC

No. 11, 2021 : 3293-3299 doi:10.19734/j.issn.1001-3695.2021.05.0148

2

Density-based clustering algorithm by using improve fruit fly optimization based on MapReduce

基于MapReduce和IFOA的并行密度聚类算法

Hu Jian

Xu Kaibin

Mao Yimin

big data

density-based clustering algorithm

KD-tree

fruit fly optimization

No. 5, 2021 : 1336-1343 doi:10.19734/j.issn.1001-3695.2020.08.0187

3

DBSCAN parameter setting based on higher-order difference and grid partition algorithm

基于高阶差分和网格划分算法的DBSCAN参数自动选取算法

Lan Hong

Zhu Helong

density-based cluster

parameters selection

high order difference

grid partition

eliminate extremes

No. 11, 2020 : 3347-3352 doi:10.19734/j.issn.1001-3695.2019.06.0257

4

Outlier detection algorithm based on neighborhood system density difference measurement

一种基于邻域系统密度差异度量的离群点检测算法

Du Xusheng

Yu Jiong

Chen Jiaying

Wang Yuefei

Pu Yonglin

Ye Lele

data mining

outlier detection

density-based

LOF(local outlier factor)

LDOF(local distance-based outlier factor)

CBOF(cohesiveness-based outlier factor)

No. 7, 2020 : 1969-1973 doi:10.19734/j.issn.1001-3695.2018.12.0932

5

P2P traffic identification method based on clustering and traffic dispersion graph

基于聚类和流量传播图的P2P流量识别方法

Su Yangyang

Sun Dongpu

Li Dandan

Sun Guanglu

P2P traffic identification

traffic behavior characteristics

traffic dispersion graph

density-based spatial clustering of applications with noise

No. 11, 2019 : 3448-3451,3455 doi:10.19734/j.issn.1001-3695.2018.06.0328

Search density-based

Searchdensity-basedreturned 5 results

Density-based clustering algorithm based on groups and improve gravitational search

Density-based clustering algorithm by using improve fruit fly optimization based on MapReduce

DBSCAN parameter setting based on higher-order difference and grid partition algorithm

Outlier detection algorithm based on neighborhood system density difference measurement

P2P traffic identification method based on clustering and traffic dispersion graph