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'm looking for a decent implementation of KNN algorithm in java because, in my dissertation, I have to modify it …
java knnI am extracting image features from 10 classes with 1000 images each. Since there are 50 features that I can extract, I am …
machine-learning computational-geometry classification knnI have some problems with opencv flann::Index - I'm creating index Mat samples = Mat::zeros(vfv_net_quie.size(),24,…
c++ opencv knnIs it possible to use something like 1 - cosine similarity with scikit learn's KNeighborsClassifier? This answer says no, but on …
python machine-learning scikit-learn knnI have problem about calculating the precision and recall for classifier in matlab. I use fisherIris data (that consists of 150 …
matlab knn confusion-matrix precision-recallI have already pre-cleaned the data, and below shows the format of the top 4 rows: [IN] df.head() [OUT] Year …
scikit-learn knn tf-idf oversampling imblearnI'm trying to run k-nearest neighbours using cv2 (python 2.7) and opencv 3.0. I've replicated the same error message using code like …
python opencv3.0 knnI have bellow python code to build knn graph but I have an error: AttributeError: 'Graph' object has no attribute …
python graph cluster-computing networkx knnI'm implementing the K-nearest neighbours classification algorithm in C# for a training and testing set of about 20,000 samples each, and 25 …
c# optimization classification knn