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Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data., , and . SDM, page 47-58. SIAM, (2003)Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks., , , , , , , , , and 1 other author(s). SDM, page 612-620. SIAM, (2021)Characterizing pattern preserving clustering., , , and . Knowl. Inf. Syst., 19 (3): 311-336 (2009)Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2018)Integrating Physics-Based Modeling with Machine Learning: A Survey., , , , and . CoRR, (2020)Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks., , , , , , , and . CoRR, (2018)Support envelopes: a technique for exploring the structure of association patterns., , and . KDD, page 296-305. ACM, (2004)Data Guided Discovery of Dynamic Climate Dipoles., , , , , , , , and . CIDU, page 30-44. NASA Ames Research Center, (2011)A Model-Free Time Series Segmentation Approach for Land Cover Change Detection., , , , , , , , , and . CIDU, page 144-158. NASA Ames Research Center, (2011)Anomaly Construction in Climate Data: Issues and Challenges., , , , , and . CIDU, page 189-203. NASA Ames Research Center, (2011)