Timeline for Moving average filter for outlier removal
Current License: CC BY-SA 3.0
3 events
| when toggle format | what | by | license | comment | |
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| Nov 2, 2013 at 12:14 | comment | added | Peter Flom | From your question, you seem to be trying to apply a method and use the result, without any further consideration. This would be "automated". Instead, use a variety of methods and then consider the results (the consideration makes it "not automated". | |
| Nov 1, 2013 at 22:07 | comment | added | Srishti M | Thank you for your reply. But I could not follow what you mean by automating. How to detect presence of outliers and where they are? I just applied outlier removal since existing resources mention that data need to be smoothed and noise-free. My data comes from kinect sensor. | |
| Nov 1, 2013 at 21:49 | history | answered | Peter Flom | CC BY-SA 3.0 |