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Both sides previous revision Previous revision 2012/01/29 16:40 straka 2012/01/28 23:23 majlis Added links to previous and next chapter.2012/01/26 23:19 straka 2012/01/26 00:11 straka 2012/01/26 00:06 straka 2012/01/25 22:20 straka 2012/01/25 15:46 straka vytvořeno Go		2012/01/29 16:40 straka 2012/01/28 23:23 majlis Added links to previous and next chapter.2012/01/26 23:19 straka 2012/01/26 00:11 straka 2012/01/26 00:06 straka 2012/01/25 22:20 straka 2012/01/25 15:46 straka vytvořeno Go Next revision Both sides next revision
courses:mapreduce-tutorial:step-15 [2012/01/25 22:20] straka		courses:mapreduce-tutorial:step-15 [2012/01/26 00:06] straka
Line 1:		Line 1:
	====== MapReduce Tutorial : K-means clustering ======		====== MapReduce Tutorial : K-means clustering ======
		+
		+	Implement the [[http://en.wikipedia.org/wiki/K-means_clustering#Standard_algorithm|K-means clustering algorithm]]. You can use the following data:
		+	^ Path ^ Number of points ^ Number of dimensions ^ Number of clusters ^
		+	| ''/home/straka/hadoop/example-inputs/points-small'' | 10000 | 50 | 50 |
		+	| ''/home/straka/hadoop/example-inputs/points-medium'' | 100000 | 100 | 100 |
		+	| ''/home/straka/hadoop/example-inputs/points-large'' | 500000 | 200 | 200 |

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