in reply to Re: Making sense of data: Clustering OR A coding challenge
in thread Making sense of data: Clustering OR A coding challenge
Interesting, although it seems this method seems to favor outliers. With my sample dataset below it creates more bins
with few or no items on the high end of the spectrum whereas
nearly everything else continues to be lumped into the first category.
vs. kvale's[0 -296 ] 86 [297 -580 ] 8 [581 -864 ] 4 [865 -1148 ] 1 [1149 -1432 ] 2 [1433 -1716 ] 0 [1717 -2000 ] 1
[12 -24 ] 33 [42 -76 ] 27 [80 -128 ] 14 [150 -250 ] 9 [280 -460 ] 9 [550 -950 ] 7 [1226 -2000 ] 3
12, 14, 16, 18, 18, 20, 20, 20, 20, 20, 20, 20, 22, 24, 24, 24, 24, 30, 30, 30, 32, 35, 35, 35, 35, 35, 35, 35, 36, 40, 42, 46, 48, 48, 50, 50, 50, 50, 54, 54, 55, 56, 56, 58, 58, 60, 60, 60, 60, 63, 64, 67, 67, 68, 70, 70, 76, 80, 86, 86, 86, 90, 90, 99, 100, 100, 100, 100, 104, 105, 128, 150, 150, 154, 169, 190, 200, 200, 200, 250, 280, 291, 291, 300, 325, 325, 330, 450, 460, 550, 566, 600, 700, 750, 770, 950, 1226, 1250, 2000, 15, 22, 24
--
In Bob We Trust, All Others Bring Data.
|
---|
Replies are listed 'Best First'. | |
---|---|
Re^3: Making sense of data: Clustering OR A coding challenge
by codeacrobat (Chaplain) on Apr 05, 2006 at 06:21 UTC | |
by belg4mit (Prior) on Apr 05, 2006 at 14:19 UTC |
In Section
Seekers of Perl Wisdom