title: Merge sensor data for clustering/neural net usage
body: <p>I have several datasets i.e. matrices that have a 2 columns, one with a matlab date number and a second one with a double value. Here an example set of one of them</p>
  
  <pre><code>&gt;&gt; S20_EavesN0x2DEAir(1:20,:)
  ans =
  
     1.0e+05 *
  
     7.345016409722222   0.000189375000000
     7.345016618055555   0.000181875000000
     7.345016833333333   0.000177500000000
     7.345017041666667   0.000172500000000
     7.345017256944445   0.000168750000000
     7.345017465277778   0.000166875000000
     7.345017680555555   0.000164375000000
     7.345017888888889   0.000162500000000
     7.345018104166667   0.000161250000000
     7.345018312500001   0.000160625000000
     7.345018527777778   0.000158750000000
     7.345018736111110   0.000160000000000
     7.345018951388888   0.000159375000000
     7.345019159722222   0.000159375000000
     7.345019375000000   0.000160625000000
     7.345019583333333   0.000161875000000
     7.345019798611111   0.000162500000000
     7.345020006944444   0.000161875000000
     7.345020222222222   0.000160625000000
     7.345020430555556   0.000160000000000
  </code></pre>
  
  <p>Now that I have those different sensor values, I need to get them together into a matrix, so that I could perform clustering, neural net and so on, the only problem is, that the sensor data was taken with slightly different timings or timestamps and there is nothing I can do about that from a data collection point of view.
  My first thought was interpolation to make one sensor data set fit another one, but that seems like a messy approach and I was thinking maybe I am missing something, a toolbox or function that would enable me to do this quicker without me fiddling around. To even complicate things more, the number of sensors grew over time, therefore I am looking at different start dates as well.</p>
  
  <p>Someone a good idea on how to go about this? Thanks</p>