👉 "Outlot" is a concept in the field of data science and machine learning. It refers to the process of extracting meaningful patterns from large, unstructured datasets by using statistical techniques such as clustering or dimensionality reduction. Outliers (outliers are points that deviate significantly from their surrounding data) can be identified during this process and used for various applications, including anomaly detection, predictive modeling, and hypothesis testing. Outlot is a specific type of outlier detection algorithm that is commonly used in
