Time Series Classification

Classification of time series using Dynamic Time Warping algorithm with Recursion and Dynamic Programming.

The program gets trained with datasets which belong to classes and the program predicts to which classes other datasets belong. It also prints error rate and CPU time.

Compilation

For implementation using Recursion:
$ gcc functions.c time_series_classification.c -o dtwrec

For implementation using Dynamic Programming:
$ gcc -DREC functions.c time_series_classification.c -o dtwdp

Usage

Using Recursion:
$ ./cat trainfile testfile | ./dtwrec limit > output

Using Dynamic Programming:
$ ./cat trainfile testfile | ./dtwdp limit > output

Examples with included train and test files:
$ ./cat train_FaceFour.txt test_FaceFour.txt | ./dtwdp 7
$ ./cat train_ECG5000.txt test_ECG5000.txt | ./dtwdp 45 > /dev/null