Heterogeneous Learning of Functional Clustering Regression and Application to Chinese Air Pollution Data
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DOI: 10.3390/ijerph20054155
Abstract: Clustering algorithms are widely used to mine the heterogeneity between meteorological observations. However, traditional applications suffer from information loss due to data processing and pay little attention to the interaction between meteorological indicators. In this… read more here.
Keywords: learning functional; regression; clustering regression; meteorological indicators ... See more keywords