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Course 639

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What is the most likely negative consequence of reducing the AI's "memory" (Lookback Days) from 14 days to just 3 days?

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Why is the cluster identified after 2020 in the case of the city of Šibenik considered an indicator of structural change in climate conditions?
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What claim best describes the role of the K-means algorithm in the context of scenario forecasting environmental risks?
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What is the primary goal of using the K-means algorithm in the presented case study?
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Which set of indicators best describes the adverse (extreme) climate scenario identified in the case study?
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What is the purpose of aggregating daily meteorological data to an annual level?
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Why are internal validation metrics such as the Silhouette Score commonly used in clustering analysis?
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Which limitation is most characteristic of the K-Means clustering algorithm in environmental datasets?
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Which clustering method is best suited for detecting pollution hotspots of irregular shape while identifying noise?
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What is the main purpose of applying clustering techniques in ecosystem pattern analysis?
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