Cluster management method
The invention provides a cluster management method, which relates to the technical field of integrated clustering, and comprises the following steps: extracting a corresponding partition main cluster based on partition characteristics of all partitions; on the basis of main features and secondary fe...
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Format | Patent |
Language | Chinese English |
Published |
29.03.2024
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Abstract | The invention provides a cluster management method, which relates to the technical field of integrated clustering, and comprises the following steps: extracting a corresponding partition main cluster based on partition characteristics of all partitions; on the basis of main features and secondary features of all partition main clusters, feature-associated sigma clusters are constructed; obtaining a corresponding first clustering similarity based on all processing features of every two sigma clusters; combining the two sigma clusters with the highest first clustering similarity into a new sigma cluster, and calculating the second clustering similarity of every two new sigma clusters again until the maximum third clustering similarity in the second clustering similarities is lower than a predefined threshold value; all sigma clusters corresponding to the third clustering similarity are obtained, the corresponding optimal cluster number is obtained, the number of clusters participating in the final consensus is |
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AbstractList | The invention provides a cluster management method, which relates to the technical field of integrated clustering, and comprises the following steps: extracting a corresponding partition main cluster based on partition characteristics of all partitions; on the basis of main features and secondary features of all partition main clusters, feature-associated sigma clusters are constructed; obtaining a corresponding first clustering similarity based on all processing features of every two sigma clusters; combining the two sigma clusters with the highest first clustering similarity into a new sigma cluster, and calculating the second clustering similarity of every two new sigma clusters again until the maximum third clustering similarity in the second clustering similarities is lower than a predefined threshold value; all sigma clusters corresponding to the third clustering similarity are obtained, the corresponding optimal cluster number is obtained, the number of clusters participating in the final consensus is |
Author | QI GANG LI FANG HAN GUOQUAN WANG YUBO |
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DocumentTitleAlternate | 一种集群管理方法 |
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Snippet | The invention provides a cluster management method, which relates to the technical field of integrated clustering, and comprises the following steps:... |
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Title | Cluster management method |
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