## Find Outlier in Datasets using Local Outlier Factor

The Local Outlier Factor (LOF) is an unsupervised algorithm to detect outliers in your dataset. LOF detects outliers based on the local deviation of the density from an sample compared to the samples neighbors. The local density is calculated by the distance between the sample to its surrounding neighbors (k-nearest neighbors). Outliers are samples that … Read more