His "Locality-Sensitive Hashing" (LSH) algorithm is now considered one of the popular hashing techniques in big data processing and artificial intelligence.
Even after applying dimensionality reduction methods, we still deal with hundreds or thousands of dimensions in image processing.
Close, Yet So Far Away: The Challenge of Searching in High-Dimensional Data In such a high-dimensional space, the “curse of dimensionality” occurs.
There are various metrics for measuring data distance, two of the simplest of which are Euclidean distance and Manhattan distance.
In fact, in all these cases, we are only looking for the most similar data to a specific data point.