In pattern recognition, k-nearest neighbors (k-NN) is a classification algorithm used to classify example based on a set of already classified examples.
I am using KNN to classify handwritten digits. I also now have implemented PCA to reduce the dimensionality. From 256 I …
algorithm pca knnСan anyone shine a light to my matlab program? I have data from two sensors and i'm doing a kNN …
matlab classification knn euclidean-distance probability-densityI want to code my own kNN algorithm from scratch, the reason is that I need to weight the features. …
python machine-learning scikit-learn knnMaybe I'm rather stupid but I just can't find a satisfying answer: Using the KNN-algorithm, say k=5. Now I try …
algorithm classification knnThis question concerns the implementation of KNN searching of KDTrees. Traversal of a KDTree to find a single best match (…
nearest-neighbor knn kdtreeI have a NxM matrix and I want to compute the NxN matrix of Euclidean distances between the M points. …
r distance sparse-matrix knn