View cmu_powerlaw.py
| ''' | |
| Created on May 26, 2015 | |
| @author: vinnie, vincent@vmonaco.com | |
| Power-law results from: | |
| "DATA FORENSIC TECHNIQUES USING BENFORD’S LAW AND ZIPF’S LAW FOR KEYSTROKE | |
| DYNAMICS", Aamo Iorliam, Anthony T.S. Ho, Norman Poh, Santosh Tirunagari, | |
| and Patrick Bours. IWBF 2015. |
vmonaco
/ runs_test.py
Last active Sep 23, 2019
Multivariate Wald-Wolfowitz test to compare the distributions of two samples
View runs_test.py
| """ | |
| Multivariate Wald-Wolfowitz test for two samples in separate CSV files. | |
| See: | |
| Friedman, Jerome H., and Lawrence C. Rafsky. | |
| "Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests." | |
| The Annals of Statistics (1979): 697-717. | |
| Given multivariate sample X of length m and sample Y of length n, test the null hypothesis: |
vmonaco
/ hci_clicks_example.py
Last active Jan 30, 2017
View hci_clicks_example.py
| """ | |
| Identify users by mouse click timings. | |
| Train a POHMM for each user, one sample, and test using the remaining samples. | |
| Using the clicks from task 3 (Star Bubbles) in the HCI dataset: | |
| https://bitbucket.org/vmonaco/dataset-four-hci-tasks/ | |
| $ python hci_clicks_example.py data/task3.click.csv | |
| Accuracy (88 samples): 0.375 |
View segment_motion.py
| """ | |
| Segment an acceleration or gyroscopic CSV file into motion/non-motion segments | |
| using a 2-state HMM and Savitzky–Golay filter as preprocessing | |
| """ | |
| import sys | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| from hmmlearn.hmm import GaussianHMM | |
| from scipy.signal import savgol_filter |