LU502853B1 - Bipartite graphs based post-fusion multi-view clustering machine learning methods and systems - Google Patents

Bipartite graphs based post-fusion multi-view clustering machine learning methods and systems Download PDF

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LU502853B1
LU502853B1 LU502853A LU502853A LU502853B1 LU 502853 B1 LU502853 B1 LU 502853B1 LU 502853 A LU502853 A LU 502853A LU 502853 A LU502853 A LU 502853A LU 502853 B1 LU502853 B1 LU 502853B1
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view
clustering
denotes
fusion
bipartite graph
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LU502853A
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German (de)
English (en)
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Xinzhong Zhu
Jianmin Zhao
Huiying Xu
Weixuan Liang
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Univ Zhejiang Normal
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2323—Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

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  • Engineering & Computer Science (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
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  • Bioinformatics & Computational Biology (AREA)
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  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Computational Linguistics (AREA)
  • Discrete Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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LU502853A 2021-02-09 2021-12-08 Bipartite graphs based post-fusion multi-view clustering machine learning methods and systems LU502853B1 (en)

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CN202110173493.9A CN112990265A (zh) 2021-02-09 2021-02-09 基于二部图的后期融合多视图聚类机器学习方法及系统

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CN (1) CN112990265A (fr)
LU (1) LU502853B1 (fr)
WO (1) WO2022170840A1 (fr)
ZA (1) ZA202207736B (fr)

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CN112990265A (zh) * 2021-02-09 2021-06-18 浙江师范大学 基于二部图的后期融合多视图聚类机器学习方法及系统
CN113610103A (zh) * 2021-06-24 2021-11-05 浙江师范大学 基于统一锚点与子空间学习的医疗数据的聚类方法及系统
CN113627237A (zh) * 2021-06-24 2021-11-09 浙江师范大学 基于局部最大对齐的后期融合人脸图像聚类方法及系统
CN113627462A (zh) * 2021-06-24 2021-11-09 浙江师范大学 基于矩阵分解和多划分对齐的医疗数据聚类方法及系统
CN113837218A (zh) * 2021-08-17 2021-12-24 浙江师范大学 一种基于一步后融合多视图的文本聚类方法及系统
CN116152269A (zh) * 2021-11-19 2023-05-23 华为技术有限公司 二部图构建方法、显示方法和装置
CN117009838B (zh) * 2023-09-27 2024-01-26 江西师范大学 一种多尺度融合对比学习多视图聚类方法及系统
CN117292162B (zh) * 2023-11-27 2024-03-08 烟台大学 一种多视图图像聚类的目标跟踪方法、系统、设备及介质

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US11709855B2 (en) * 2019-07-15 2023-07-25 Microsoft Technology Licensing, Llc Graph embedding already-collected but not yet connected data
CN112287974B (zh) * 2020-09-28 2024-05-28 北京工业大学 一种基于自适应权重的多视k多均值的图像聚类方法
CN112132224A (zh) * 2020-09-28 2020-12-25 广东工业大学 一种基于图学习的快速谱嵌入聚类方法
CN112990265A (zh) * 2021-02-09 2021-06-18 浙江师范大学 基于二部图的后期融合多视图聚类机器学习方法及系统

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WO2022170840A1 (fr) 2022-08-18
CN112990265A (zh) 2021-06-18

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