Why DBSCAN breaks in high dimensions and what to do instead


You tuned epsilon to 1.5 because it felt reasonable. Here is what that decision actually means. On a dataset with 16 features, shifting epsilon from 1.0 to 2.0 changes your outlier rate from 60.31% to 2.35%. Same data. Same algorithm. One decimal point of difference. These are not...