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科研机构
西安交通大学 [49]
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期刊论文 [25]
会议论文 [24]
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2018 [11]
2017 [4]
2016 [1]
2015 [3]
2014 [5]
2013 [6]
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专题:西安交通大学
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Localization Method for Multiple Partial Discharge Sources in Air-insulated Substation by Using Plane Intersection Method
期刊论文
Gaodianya Jishu/High Voltage Engineering, 2018, 卷号: 44, 页码: 2970-2976
作者:
Zhu, Mingxiao
;
Liu, Qing
;
Wang, Yanbo
;
Deng, Junbo
;
Zhang, Guanjun
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/11/19
Intersection method
K-Means clustering algorithm
Localization
Localization algorithm
Partial discharge detection
Partial discharge sources
Signal separation
Ultra high frequency method
Multi-view embedded clustering with unsupervised trace ratio LDA
期刊论文
NEUROCOMPUTING, 2018, 卷号: 315, 页码: 169-176
作者:
Yu, Weizhong
;
Wang, Rong
;
Nie, Feiping
;
Wang, Fei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/19
K-means
Multi-view clustering
Trace ratio LDA
Dimensionality reduction
The linear prediction vector quantization for hyperspectral image compression
期刊论文
Multimedia Tools and Applications, 2018
作者:
Li, Rui
;
Pan, Zhibin
;
Wang, Yang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
JPEG 2000
K-means
Linear prediction
Prediction errors
Spatial correlations
Spectral clustering
Spectral clustering algorithms
Spectral correlation
ClusterFace: Clustering-driven deep face recognition
会议论文
作者:
Xie, Lingjiang
;
Yu, Cuican
;
Li, Huibin
;
Zhu, Jihua
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
Face clustering
Face recognition methods
Human-level performance
Learning paradigms
Mini-batch k-means
Novel clustering
Number of clusters
State-of-the-art performance
Application of unsupervised linear discriminant analysis for condition monitoring of rotating machinery
会议论文
作者:
Khandaker, Noman
;
Zhang, Ruxin
;
Dong, Shuzhi
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/19
Feature extraction methods
K - means clustering
K-nearest neighbors
Linear discriminant analyses (LDA)
Linear discriminant analysis
Online condition monitoring
Principle component analysis
Unsupervised method
A Hybrid Clustering Algorithm for the Measurement of Subspace
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2018, 卷号: 52, 页码: 139-144 and 167
作者:
Jin, Liying
;
Zhao, Shengdun
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
Clustering accuracy
Feature weight
Hybrid clustering algorithm
Intelligent K-Means
Lagrange multiplier method
Membership degrees
Minkowski distance
Objective functions
Big Data Real Time Ingestion and Machine Learning
会议论文
作者:
Pal, Gautam
;
Li, Gangmin
;
Atkinson, Katie
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Real Time Data Analytics
K-means clustering
Real Time Machine Leaning
Big Data
Real Time Data Ingestion
Big Data Real Time Ingestion and Machine Learning
会议论文
作者:
Pal, Gautam
;
Li, Gangmin
;
Atkinson, Katie
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Data-source
K - means clustering
Machine learning approaches
Nonstationary
Real time
Real-time data
Real-time streams
Multi-Objective Optimization on the Geometrical Parameters of a Nanofluid-Cooled Rectangular Microchannel Heat Sink
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2018, 卷号: 52, 页码: 56-61 and 132
作者:
Shi, Xiaojun
;
Li, Shan
;
Wei, Yadong
;
Gao, Jianmin
收藏
  |  
浏览/下载:110/0
  |  
提交时间:2019/11/26
Channel aspect ratios
Geometrical parameters
K-means clustering analysis
Micro channel heat sinks
Nanofluids
Pareto optimal solutions
Rectangular cross-sections
Rectangular microchannels
Hybrid Features based K-means Clustering Algorithm for use in Electricity Customer Load Pattern Analysis
会议论文
作者:
Liu, Pengyuan
;
Yang, Chenye
;
Wu, Jiang
;
Fu, Xingbo
;
Huang, Ruanming
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/26
K-means
Load Pattern
PCA
Priori Knowledge
User Classification
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