This Code Examines Time Series data and classifies it. It is for small datasets. It was developed on a leg deformity classification data set. Each code generates a plot graphing the top two key points of measure and color coding the classification.
The time series needs a distance measure from a baseline time series to quantify a measure of distance.
The models used are as follows:
K Nearest Neighbors: LunKNN.py
Random Forest: LunRandom.py
Naive Bayes: LunBayes.py