Publication | Closed Access
Based on k-Means and Fuzzy k-Means Algorithm Classification of Precipitation
22
Citations
6
References
2010
Year
Unknown Venue
HydrometeorologyMeteorologyFuzzy K-means AlgorithmFuzzy LogicEarth ScienceJingdezhen CityData ScienceData MiningEngineeringFuzzy ComputingFuzzy Expert SystemGeographyFuzzy MathematicsFuzzy K-meansFuzzy ClusteringPrecipitationFuzzy Pattern Recognition
In this paper, the author used K-means and fuzzy K-means to analyze the classification of precipitation in JingDeZhen City, and the results showed that using fuzzy k-means algorithm is a more efficient data clustering algorithm, with better value of promotion and practical application.
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