In pattern recognition, k-nearest neighbors (k-NN) is a classification algorithm used to classify example based on a set of already classified examples.
Trying to plot the decision Boundary of the k-NN Classifier but is unable to do so getting TypeError: '(slice(…
python machine-learning knnI have 7 classes that needs to be classified and I have 10 features. Is there a optimal value for k that …
classification knnI have a dataset that looks like this 1908 January 5.0 -1.4 1908 February 7.3 1.9 1908 March 6.2 0.3 1908 April NaN 2.1 1908 May NaN 7.7 1908 June 17.7 8.7 1908 July NaN 11.0 1908 August 17.5 9.7 1908 …
python scikit-learn knnI try to run this line : knn(mydades.training[,-7],mydades.test[,-7],mydades.training[,7],k=5) but i always get …
r knnI'm busy working on a project involving k-nearest neighbour regression. I have mixed numerical and categorical fields. The categorical values …
matlab octave classification knn ordinalI would like to calculate K-nearest neighbour in python. what library should i use?
python scipy knnWhere can I find an serial C/C++ implementation of the k-nearest neighbour algorithm? Do you know of any library …
c++ c parallel-processing nearest-neighbor knnI have used knn to classify my dataset. But I do not know how to measure the accuracy of the …
python python-2.7 machine-learning scikit-learn knnCurrently I'm doing a project which may require using a kNN algorithm to find the top k nearest neighbors for …
python knnI am working on classifying simple data using KNN with Euclidean distance. I have seen an example on what I …
matlab machine-learning classification knn