Similarity measures quantify how much alike objects (e.g. documents, feature vectors) are.
I've seen a few questions here related to determining the similarity of files, but they are all linked to a …
comparison binary-data similarityI'm using the Levenshtein algorithm to find the similarity between two strings. This is a very important part of the …
string algorithm levenshtein-distance similarityI am doing a community website that requires me to calculate the similarity between any two users. Each user is …
statistics social-networking data-mining pattern-recognition similarityI have a SQL Server table of products, and each product has a description that is publicly available on our …
asp.net sql-server algorithm clr similarityThe function levenshtein in PHP works on strings with maximum length 255. What are good alternatives to compute a similarity score …
php string-matching similarityThis is more of a math problem than anything else. Lets assume I have two lists of different sizes in …
python list overlap similarityI have some geographical trajectories sampled to analyze, and I calculated the histogram of data in spatial and temporal dimension, …
machine-learning fft data-mining similarity feature-extractionI have 5000, sometimes more, street address strings in an array. I'd like to compare them all with levenshtein to find …
php database similarity street-address levenshtein-distanceI want to compute the similarity (distance) between two vectors: v1 <- c(1, 0.5, 0, 0.1) v2 <- c(0.7, 1, 0.2, 0.1) I just …
r distance similarity measureVectors like this v1 = {0 0 0 1 1 0 0 1 0 1 1} v2 = {0 1 1 1 1 1 0 1 0 1 0} v3 = {0 0 0 0 0 0 0 0 0 0 1} Need to calculate similarity between them. Hamming distance between v1 and v2 is 4 and …
vector data-mining similarity hamming-distance