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ISODATA Clustering Algorithm for Site Selection

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DOI: 10.23977/cpcs.2022.060111 | Downloads: 18 | Views: 803

Author(s)

Qing Cai 1, Jinglin Gong 1, Jianfei Huang 1

Affiliation(s)

1 Yangzhou University, Yangzhou, Jiangsu, China

Corresponding Author

Jianfei Huang

ABSTRACT

This paper mainly solves the problem of site selection. The subject has given the weak coverage area of the existing network according to the coverage of the existing network antenna, and has made a coordinate delineation of the area. By establishing a planning model, we select some of the points to build new base stations, so that the total traffic of the sites covering weak coverage points reaches a predetermined value. This paper establishes the relevant planning model and uses the ISODATA clustering algorithm to solve it.

KEYWORDS

K-Means clustering, ISODATA clustering, Cluster analysis, Goal planning

CITE THIS PAPER

Qing Cai, Jinglin Gong, Jianfei Huang, ISODATA Clustering Algorithm for Site Selection. Computing, Performance and Communication Systems (2022) Vol. 6: 66-72. DOI: http://dx.doi.org/10.23977/cpcs.2022.060111.

REFERENCES

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