I implemented an algorithm that uses opencv kmeans to quantize the unique brightness values present in a greyscale image. Quantizing the unique values helped avoid biases towards image backgrounds which are typically all the same value. However, I struggled to find a way to utilize this data to quantize a given input image. I implemented… Read More Python + Image Processing: Efficiently Assign Pixel Values to Nearest Predefined Value

I am following this tutorial and this is all super new to me, so apologies if it’s an obvious question. Following the tutorial, I have converted a list of strings, sentences, into a K-Means model with 4 clusters using the following: corpus = tm::Corpus(tm::VectorSource(sentences)) tdm <- tm::DocumentTermMatrix(corpus.cleaned) tdm.tfidf <- tm::weightTfIdf(tdm) tdm.tfidf <- tm::removeSparseTerms(tdm.tfidf, 0.999) tfidf.matrix… Read More Mutating a list of strings to include K-means cluster number in R

I am new in fortran. I want to know, for example if I have an 1d array, indices=(/1, 1, 1, 2 , 2 ,10, 11 /) and I want to know how many times 1 occur (answer should be 3), number 2 should be 2 times, num 10 should be 1 also number 11, .… Read More how to search number of occurence in fortran