K- means algorithm accept input k Then could be divided into k n data object clustering in order to make the clustering obtained satisfy: clustering objects in the same similarity is higher Unlike smaller clustering objects in the similarity. Cluster similarity is the use of the cluster of objects in the average obtained a "central object" (center of gravity) to calculated.

k12
...\data.txt
...\Debug
...\.....\k12.exe
...\.....\k12.ilk
...\.....\k12.pch
...\.....\k12.pdb
...\.....\k121.obj
...\.....\vc60.idb
...\.....\vc60.pdb
...\k12.dsp
...\k12.dsw
...\k12.ncb
...\k12.opt
...\k12.plg
...\k121.cpp

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