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m Signing comment by Hydradix - "Added links to Wikipedia LGB and k-Means articles" |
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E.g. clustering a 1-d normally distributioned data (10k samples) with k-means (6 clusters) results in groups with very different numbers of points assigned to each group (700 to 2400).
I would not call this difference "approximately the same". Or am i missing something?
== VERY approximate ==
From my limited experience, it seems most groups will have similar numbers, but a few groups (clusters) will have very few or very many elements assigned to it. So most clusters (maybe 60~80 %) will have a similar number of elements, but the remainder will have very few or very many elements.
[[User:Hydradix|Hydradix]] ([[User talk:Hydradix|talk]]) 04:53, 13 October 2014 (UTC)
== No mention of LBG or other methods ==
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