Application of Optimized Kmeans Clustering Algorithm in China Offshore Climate Regionalization
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Abstract:
Based on wind, wave height, temperature and humidity data, the optimized Kmeans algorithm which combines DB criterion and the method of maximum distance is used in China’s offshore climate regionalization in winterThe optimized algorithm avoids the drawbacks of subjectivity of determining cluster number and initial cluster centers in the traditional Kmeans algorithmThe results show that three regions are obtained: Region 1 mainly includes the sea area north of 28°N and the long narrow area in the southeast coastal of China; Region 2 mainly includes the circumjacent seas of the Taiwan Island, Taiwan Strait, Bashi Channel and most of the South China Sea from the southwest to the northeast; Region 3 mainly includes the sea area in the southwest of the Taiwan Island, Beibu Gulf, coastal areas of Guangdong Province and the southeast of the South China Sea By analyzing the climate characteristics of each region and their influences on ships and people on the seas, according to the regionalization criteria, we conclude that Region 1 is basically suitable for sailing, Region 2 is not suitable, and Region 3 is suitable
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.