[1] |
ZHANG Chi, CHEN Mei, ZHANG Jinhong.
Clustering Multivariate Time Series Data Based on Shape Extraction with Compactness Constraint
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(5): 1243-1258.
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[2] |
QIAN Luoxiong, CHEN Mei, ZHANG Chi, ZHANG Jinhong, MA Xueyan.
Smooth Non-negative Low-Rank Graph Representation for Clustering
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(3): 659-673.
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[3] |
DAN Yufang, TAO Jianwen.
Possibilistic Distribution Distance Measure: Robust Domain Adaptation Learning Method
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(3): 674-692.
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[4] |
SHENG Jinchao, DU Mingjing, SUN Jiarui, LI Yurui.
Multivariate Time Series Density Clustering Algorithm Using Shapelet Space
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(2): 387-402.
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[5] |
ZHANG Wentao, HUANG Jianhua, GU Bin, NING Yuhao, GONG Zaiwei.
DAGGraph: Blockchain Suitable for Mobile Ad Hoc Networks
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(1): 252-264.
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[6] |
SUN Lin, LIU Menghan, XUE Zhan’ao.
Feature Selection Combining Artificial Bee Colony with [K-means] Clustering
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(1): 93-110.
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[7] |
QIAO Yuxin, GE Hongwei, SONG Peng.
Global and Local Structure Learning for Multi-view Subspace Clustering
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(9): 2107-2117.
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[8] |
WANG Weina, ZHU Yu, REN Yan.
Density Peaks Clustering Combining Relative Local Density and Nearest Neighbor Relationship
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(8): 1879-1892.
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[9] |
LI Jingnan, HUANG Ruizhang, REN Lina.
Semi-supervised Deep Document Clustering Model with Supplemented User Intention
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(8): 1928-1937.
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[10] |
DAN Yufang, TAO Jianwen, ZHAO Yue, PAN Jie, ZHAO Baoqi.
Multi-model Adaptation Method of Possibilistic Clustering Assumption
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(6): 1329-1342.
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[11] |
JIANG Kaibin, ZHOU Shibing, QIAN Xuezhong, GUAN Jiaojiao.
Dynamic-Fusion Multi-view Projection Clustering Algorithm
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(5): 1147-1156.
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[12] |
XU Yan, GUO Xiaoyan, RONG Leilei.
Review of Research on Vehicle Re-identification Methods with Unsupervised Learning
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(5): 1017-1037.
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[13] |
Ailiminuer·Kuerban, XIE Juanying, YAO Ruoxia.
Adaptive K-means Algorithm Combining Nearest-Neighbor Matrix and Local Density
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(2): 355-366.
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[14] |
YIN Hua, XIAO Shiran, CHEN Zhiquan, HU Zhensheng, LONG Yongchao.
Knowledge Graph Completion Method Based on Multi-semantic Relation Embedding
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(2): 467-477.
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[15] |
ZHANG Zhiyuan, CHEN Yarui, YANG Jianning, DING Wenqiang, YANG Jucheng.
Variational Deep Generative Clustering Model Under Entropy Regularizations
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(2): 376-384.
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