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兰州财经大学机构知识库
Lanzhou University of Finance and Economics. All
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Text Analysis of Cross-border E-commerce Policy Based on Co-word Clustering Method: A Case Study of Gansu Province
会议论文
Journal of Physics: Conference Series, Suzhou, China, 2020-03-20 - 2020-03-22
作者:
Wang, Yuzhen
;
Li, Jiaru
Adobe PDF(888Kb)
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浏览/下载:108/3
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提交时间:2021/03/24
Cluster analysis
Computation theory
Electronic commerce
Intelligent computing
Cross-border
Gansu province
Government departments
High quality
Policy-based
Research object
Text analysis
Word clustering
Application of cluster analysis to western China population quality assessment
会议论文
E-Commerce, E-Business and E-Service - Proceedings of the International Conference on E-Commerce, E-Business and E-Service, EEE 2014, Hong Kong, Hong kong, 2014-05-01 - 2014-05-02
作者:
Zhang, Xie
;
Li, Zhendong
收藏
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浏览/下载:94/0
  |  
提交时间:2021/03/24
Cluster analysis
Central government
Clustering methods
Comprehensive assessment
Fundamental research
Population qualities
Social and economic development
Western China
Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint
会议论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), New York, NY, United states, 2020-10-02 - 2020-10-04
作者:
Wang, Jikui
;
Shi, Quanfu
;
Yang, Zhengguo
;
Nie, Feiping
收藏
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浏览/下载:135/0
  |  
提交时间:2021/03/24
Cluster analysis
Fuzzy systems
Iterative methods
Matrix algebra
Parallel architectures
High dimensional data
Iterative optimization algorithms
Low-dimensional spaces
Objective functions
Principal Components
Sparsity constraints
State-of-the-art algorithms
Two-stage algorithm
Projected fuzzy C-means with probabilistic neighbors
期刊论文
Information Sciences, 2022, 卷号: 607, 页码: 553-571
作者:
Wang, Jikui
;
Yang, Zhengguo
;
Liu, Xuewen
;
Li, Bing
;
Yi, Jihai
Adobe PDF(1649Kb)
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浏览/下载:52/0
  |  
提交时间:2023/02/24
Cluster analysis
Clustering algorithms
Iterative methods
Matrix algebra
Reduction
Clusterings
Dimensionality reduction
Dimensionality reduction method
Fuzzy-c means
Graph embeddings
Graph optimization
Probabilistic neighbor
Probabilistics
Projected clustering
Unsupervised dimensionality reduction
A New Method For Dynamic Stock Clustering Based On Spectral Analysis
期刊论文
COMPUTATIONAL ECONOMICS, 2017, 卷号: 50, 期号: 3, 页码: 373-392
作者:
Li, Zhaoyuan
;
Tian, Maozai
Adobe PDF(1001Kb)
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收藏
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浏览/下载:92/6
  |  
提交时间:2021/03/24
Stock return
Cross-correlation
Stock cluster
Phase transition
Spectral Analysis