ipft - Indoor Positioning Fingerprinting Toolset
Algorithms and utility functions for indoor positioning
using fingerprinting techniques. These functions are designed
for manipulation of RSSI (Received Signal Strength Intensity)
data sets, estimation of positions,comparison of the
performance of different models, and graphical visualization of
data. Machine learning algorithms and methods such as k-nearest
neighbors or probabilistic fingerprinting are implemented in
this package to perform analysis and estimations over RSSI data
sets.