咨询与建议

限定检索结果

文献类型

  • 1 篇 期刊文献
  • 1 篇 会议

馆藏范围

  • 2 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2 篇 工学
    • 2 篇 电气工程
    • 2 篇 计算机科学与技术...
    • 1 篇 信息与通信工程

主题

  • 2 篇 canopy-kmeans al...
  • 1 篇 scalability
  • 1 篇 hadoop
  • 1 篇 anomaly detectio...
  • 1 篇 weighted density
  • 1 篇 abnormal detecti...
  • 1 篇 energy consumpti...
  • 1 篇 mapreduce
  • 1 篇 k-means algorith...
  • 1 篇 detection algori...
  • 1 篇 isolation forest...
  • 1 篇 feature extracti...
  • 1 篇 electricity
  • 1 篇 speedup
  • 1 篇 classification a...
  • 1 篇 clustering algor...
  • 1 篇 prediction algor...
  • 1 篇 forestry
  • 1 篇 cluster analysis
  • 1 篇 unsupervised lea...

机构

  • 1 篇 northeast elect ...
  • 1 篇 xiamen univ tan ...

作者

  • 1 篇 zhou gongjian
  • 1 篇 wang jianyuan
  • 1 篇 li xiaoyao

语言

  • 2 篇 英文
检索条件"主题词=Canopy-Kmeans algorithm"
2 条 记 录,以下是1-10 订阅
排序:
Improved Optimization of canopy-kmeans Clustering algorithm Based on Hadoop Platform  18
Improved Optimization of Canopy-Kmeans Clustering Algorithm ...
收藏 引用
International Conference of Information Technology and Electrical Engineering (ICITEE)
作者: Zhou, Gongjian Xiamen Univ Tan Kah Kee Coll Zhangzhou Fujian Peoples R China
How to apply clustering algorithm to effectively cluster large-scale data is an important research topic in data mining. Based on an in-depth analysis of the Hadoop platform architecture and canopy-kmeans clustering a... 详细信息
来源: 评论
Abnormal Electricity Detection of Users Based on Improved canopy-kmeans and Isolation Forest algorithms
收藏 引用
IEEE ACCESS 2024年 12卷 99110-99121页
作者: Wang, Jianyuan Li, Xiaoyao Northeast Elect Power Univ Key Lab Modern Power Syst Simulat & Control & Rene Minist Educ Jilin 132012 Peoples R China
Aiming at the existing user abnormal electricity consumption detection methods that have the problem of difficult classification of user similar electricity consumption patterns, this paper proposes an unsupervised is... 详细信息
来源: 评论