The AVT (Adaptive Variance Threshold) statistical filtering algorithm is designed to improve the quality of data by filtering out noise and irrelevant variations in datasets. Although specific implementations and details about AVT might vary, generally, statistical filtering algorithms aim to identify and remove outliers or low-quality data points based on statistical measures.
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