Efficient approximate nearest neighbors for a constantly changing dataset? [P]
Currently working on a Big Data project where our data points are constantly being subject to small changes and to which more data points are being constantly added. How would we go about doing KNN in these conditions? All libraries I could find ( these ones ) assume a non-changing dataset. Wondering if someone here has stumbled into a similar problem and could provide some insight. Thanks!