Done by Bruce Young
This is a basic python-based program that can realize some major algorithms in indoor positioning field, such as K-Nearest Neighbor (KNN), Random Forest (RF), Support Vector Machine (SVM), Multi-layer Perceptron. Based on the collected data (eg. WiFi), you can construct the offline fingerprint database and online test dataset, and then run this program to achieve simple indoor positioning.
The program consists of main function, data file and function file. Specifically, data is stored in data-file, including offline fingerprint database and online test data.
- Make sure data is put in the right address.
- Choose your intended algorithm to localize.