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Clustering Future Scenarios Based on Predicted Range Maps
We find that clustering based on ecological impact (predicted species range maps) is mainly driven by the amount of warming.
Copula Quadrant Similarity for Anomaly Scores
We illustrate our method with simulated and real experiments, applying spectral methods to cluster multiple anomaly detection methods and to contrast our similarity measure with others.
Factor Analysis of Mixed Data for Anomaly Detection
Anomaly detection aims to identify observations that deviate from the typical pattern of data.
Scalable Levy Process Priors for Spectral Kernel Learning
We propose a distribution over kernels formed by modelling a spectral mixture density with a Levy process.
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