python r random-forest naive-bayes xgboost gbm logistic-regression knn decision-tree-classifier naive-bayes-classification gradient-boosting knn-classifier Updated Nov 13, 2018 R ...

Neuroblastoma case study to show clinical applications of KNN classifier. We designed a method to test whether KNN produces classifiers of good clinical relevance. First, we developed our approach ...

The K-Nearest Neighbors (KNN) Classifier is a simple and effective classification algorithm that works well with smaller datasets and is easy to understand. In this project, we use Python libraries ...

The kNN join (k nearest neighbor join) is a primitive operation widely adopted by many data mining applications. From a dataset S, it can find k nearest neighbors for every object in another dataset R ...

This paper investigated approaches using Isomap to extract nonlinear intrinsic features for K-Nearest Neighbor (KNN) to classify Hyperspectral data, and proposed a new classification method, ...