Local Outlier Factor (LOF) For Anomaly Detection

Local Outlier Factor (LOF) For Anomaly Detection

Local Outlier Factor (LOF) is an unsupervised model for outlier detection. It compares the local density of each data point with its neighbors and identifies the data points with a lower density as anomalies or outliers. In this tutorial, we will talk about Resources for this post: Step 1: Import Libraries The first step is …

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