GitHub

This Python code is a simple machine learning script that performs classification using the K-Nearest Neighbors (KNN) algorithm

Imports: The code imports necessary libraries including NumPy, Matplotlib, pandas, and the KNeighborsClassifier from scikit-learn. Data Loading: It loads a dataset from a CSV file named "countries.csv ...
IEEE

Improving KNN Algorithm Efficiency Based on PCA and KD-tree

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
GitHub

Build and save K Nearest Neighbors models from .csv files!

KNN from CSV contains a main program (KNN.py) as well as two subfolders (data and models). When run, this program will allow the user to select a .csv file from the data folder and build a K Nearest ...
IEEE

Stock Movement Prediction using KNN Machine Learning Algorithm

Abstract: The stock market refers to the buying, selling, and issuance of shares of publicly held companies. Stock market prediction is for good and successful investment. Some people think stock ...