SOM++: integration of self-organizing map and k-means++ algorithms
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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It contains a large number of historical data worth of re-utilizing in GIS after long-time application and accumulation. But due to the diversity of spatial data format it is difficult to make data sharing. In order to realize the seamless access and ...