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Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3973-3985
作者:
Liang, Jie
;
Yang, Jufeng
;
Cheng, Ming-Ming
;
Rosin, Paul L.
;
Wang, Liang
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2019/09/30
Subspace clustering
triplet relationship
estimating the number of clusters
hyper-graph clustering
Power load data preprocessing based on PFCM algorithm and neural network
会议论文
Chongqing, China, May 24, 2019 - May 26, 2019
作者:
Hao, Xiaohong
;
Zhang, Chunyan
;
Li, Hang
;
Wang, Weizhou
;
Liu, Fuchao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Classification (of information)
Curve fitting
Electric load dispatching
Electric power plant loads
Electric power transmission networks
Genetic algorithms
Radial basis function networks
Statistics
Average relative error
Clustering results
Genetic-algorithm optimizations
Number of clusters
Outliers
Power load
RBF Neural Network
Trained neural networks
Key-frame extraction based on HSV histogram and adaptive clustering
期刊论文
Mathematical Problems in Engineering, 2019, 卷号: 2019
作者:
Zhao, Hong
;
Wang, Wei-Jie
;
Wang, Tao
;
Chang, Zhao-Bin
;
Zeng, Xiang-Yan
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/14
Digital storage
Extraction
Graphic methods
Indexing (of information)
Object detection
Video recording
Adaptive clustering
Analysis capabilities
Cluster validation
Digital information technologies
Key-frame extraction
Number of clusters
Organizational frameworks
Real time requirement
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
A hierarchical cluster validity based visual tree learning for hierarchical classification
会议论文
作者:
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/26
Classification accuracy
Hier-archical clustering
Hierarchical classification
Hierarchical classifiers
Hierarchical clusters
Hierarchical structures
Number of clusters
Visual tree
Multispectral Remote Sensing Image Segmentation Based on FCM Algorithm with Unknown Number of Clusters
期刊论文
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 卷号: Vol.40 No.1, 页码: 157-165
作者:
Zhao Quanhua
;
Liu Xiaoyan
;
Zhao Xuemei
;
Li Yu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/26
Multispectral
remote
sensing
image
Fuzzy
membership
degree
Fuzzy
factor
Segmentation
with
unknown
number
of
clusters
Partition
Entropy
(PE)
index
Deep metric learning with improved triplet loss for face clustering in videos
会议论文
作者:
Zhang, Shun
;
Gong, Yihong
;
Wang, Jinjun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Deep convolutional neural networks
Euclidean distance
Face clustering
Facial Expressions
Metric learning
Number of clusters
Performance improvements
Real world videos
An Enhanced Agglomerative Fuzzy K-Means Clustering Method with Mapreduce implementation on Hadoop Platform
会议论文
作者:
Zhang, Ruixin
;
Wang, Yinglin
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  |  
浏览/下载:6/0
  |  
提交时间:2019/08/22
agglomerative fuzzy kmeans
initial center selection
number of clusters
MapReduce
Modifying idistance for a fast CHAMELEON with application to patch based image segmentation
会议论文
作者:
Wang, Xiaochun
;
Wang, Xia L.
;
Wilkes, Don M.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/10
High-dimensional
High-dimensional index structures
K-nearest neighbor graphs
k-NN search
Multi dimensional
Number of clusters
Relative closeness
State-of-the-art approach
Fast clustering segmentation method combining Hill-climbing for color image
期刊论文
Journal of Information and Computational Science, 2011, 卷号: 8, 期号: 14, 页码: 2949-2957
作者:
Ding, Zhengjian
;
Jia, Juanjuan
;
Li, Dai
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/14
Clustering algorithms
Color
Fuzzy clustering
Fuzzy systems
Graphic methods
Three dimensional
Clustering segmentation
Color image segmentation
Color images
Computational speed
FCM clustering
Fuzzy C means clustering
Hill climbing
Hill climbing algorithms
Human perception
Initialization technique
Number of clusters
Post processing
Salient regions
Segmentation algorithms
Segmentation results
Spatial regions
Three-dimensional color histogram
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