23:00 I like this step, it seems very much in line with the "quartile" method of finding outliers in simple list data... Which brings me to my question: why not just compute the median points and quartile points for every dimension of your data? With outliers being points outside asking every dimension??
Your video is very impressive, you made those complex concepts sound so simple, thanks for uploading it :)
23:00 I like this step, it seems very much in line with the "quartile" method of finding outliers in simple list data...
Which brings me to my question: why not just compute the median points and quartile points for every dimension of your data? With outliers being points outside asking every dimension??
Is this the BACON method described in Billor, Hadi and Velleman 2000?