title: classifying accelerometer data over time in python
body: <p>I have a set of accelerometer data recordings after 4 different kinds of events (and many repetitions of each).
  each point (recording) is defined by 3 vectors (X,Y,Z) with 150,000 samples each (5 seconds with a sample rate of 30KHz). so all in all i have alot of 3x150,000 matrices.</p>
  
  <p>I want to use a classifier or clustering for these points using python in order to see if there is a difference between the behavior of the accelerometer after the different types of events.</p>
  
  <ol>
  <li>what is the best classifier to use? </li>
  <li>how should i structure my data?</li>
  <li>how do i plot this in order to visualize my data?</li>
  </ol>
  
  <p>thanks a lot to any helpers.</p>