Python + Image Processing: Efficiently Assign Pixel Values to Nearest Predefined Value

Advertisements 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… Read More Python + Image Processing: Efficiently Assign Pixel Values to Nearest Predefined Value

Mutating a list of strings to include K-means cluster number in R

Advertisements 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)… Read More Mutating a list of strings to include K-means cluster number in R