Argo data anomaly detection algorithm based on selective ensemble of fuzzy clustering
Wanlu Zhu,
Yongguo Jiang,
Meng Zhang
Abstract:Argo profiling float data is a crucial data source for fundamental research and predictive forecasting operations in oceanography and environmental science. However, compiling and organizing such datasets demands considerable time and human resources. Therefore, the quest for effective methods of detecting anomalies in Argo data is of paramount importance. In this regard, we propose three improvement strategies within the stacking ensemble framework: preserving the original training set, weighting base model o… Show more
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