Hybrid Clustering Algorithm for Mobile Data and Static Data
A hybrid data clustering algorithm MMPSP is proposed to solve the clustering problem involving both mobile data and static data. Firstly，the clustering problem of mixed data containing static data sets and only one mobile data is analyzed，and then the clustering problem of mixed data containing stat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2021-04-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1938 |
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| Summary: | A hybrid data clustering algorithm MMPSP is proposed to solve the clustering problem involving both mobile data and static data. Firstly，the clustering problem of mixed data containing static data sets and only one mobile data is analyzed，and then the clustering problem of mixed data containing static data sets and mobile data sets is discussed. In the study of mixed data clustering problem，the data of the two data types are separately clustered. The static data is clustered to get the static cluster，and the mobile cluster is obtained by the mobile data clustering. After obtaining the clusters of the two data types，the data of the two data types are clustered in units of clusters. Finally，the experimental results show that compared with experimental comparison algorithm，the algorithm MMPSP has better effect and accuracy for the clustering processing of this kind of mixed data. |
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| ISSN: | 1007-2683 |