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Application of K-means Algorithm in Geological Disaster Monitoring System Cover

Application of K-means Algorithm in Geological Disaster Monitoring System

By: Wang Jianguo and  Xue Linyao  
Open Access
|Oct 2019

Figures & Tables

Figure 1.

K-means clustering algorithm flow chart

Figure 2.

CMU-kmeans algorithm framework

Figure 3.

The precision and recall values of the traditional k-means algorithm

Figure 4.

The precision and recall values of the improved Cannopy algorithm

Figure 5.

The precision and recall values of the CMU-kmeans algorithm

THE SAMPLE DATA ATTRIBUTES

Field numberField nameField codeType of data
1IdXxNumber
2SnoYyVarchar
3TypetypeVarchar
4GettimetimeDatatime
5Alarm LevelalarmInteger
6ValuevalueDouble
7Day Valued_valueDouble

THE OPTIMIZED DATA ATTRIBUTES

Field numberField nameField codeType of data
1IdxxNumber
2SnoyyVarchar
3GettimetimeDatatime
4Day Valued_valueDouble

DETAILED EXPERIMENTAL RESULTS ON THE RAINFALL DATASET

Rainfall setk-means algorithmImproved Canopy algorithmCMU-kmeans algorithm
precisionrecallPrecisionrecallprecisionrecall
1st25.42326.12550.79961.07856.93965.783
2nd24.28725.36552.97563.28856.42364.921
3rd25.6118.86448.89558.88757.41366.174
4th27.14326.14353.42563.68357.68268.108
5th22.36525.3150.07358.40456.16365.063
6th18.10226.42150.44464.6556.46865.224
7th25.32624.62349.36257.33858.92167.638
8th28.32526.85249.97560.07556.23966.405
9th26.56228.15454.26762.39258.34166.423
10th23.98526.52351.44560.65157.26765.392
average25.01325.93851.66661.04557.18666.113
Language: English
Page range: 16 - 22
Published on: Oct 1, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Wang Jianguo, Xue Linyao, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.