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Both sides previous revision Previous revision 2012/02/05 19:10 straka 2012/02/05 19:08 straka 2012/02/05 19:05 straka 2012/01/31 14:39 straka 2012/01/31 14:33 straka 2012/01/31 13:12 straka 2012/01/31 13:10 straka 2012/01/31 13:07 straka 2012/01/31 13:07 straka 2012/01/31 12:40 straka 2012/01/30 15:44 majlis 2012/01/29 16:41 straka 2012/01/29 16:38 straka 2012/01/29 16:38 straka 2012/01/29 16:38 straka 2012/01/29 16:38 straka 2012/01/29 16:34 straka 2012/01/29 16:27 straka 2012/01/28 21:42 straka 2012/01/28 17:54 straka vytvořeno Go		2012/02/05 19:10 straka 2012/02/05 19:08 straka 2012/02/05 19:05 straka 2012/01/31 14:39 straka 2012/01/31 14:33 straka 2012/01/31 13:12 straka 2012/01/31 13:10 straka 2012/01/31 13:07 straka 2012/01/31 13:07 straka 2012/01/31 12:40 straka 2012/01/30 15:44 majlis 2012/01/29 16:41 straka 2012/01/29 16:38 straka 2012/01/29 16:38 straka 2012/01/29 16:38 straka 2012/01/29 16:38 straka 2012/01/29 16:34 straka 2012/01/29 16:27 straka 2012/01/28 21:42 straka 2012/01/28 17:54 straka vytvořeno Go Next revision Both sides next revision
courses:mapreduce-tutorial:step-28 [2012/01/29 16:38] straka		courses:mapreduce-tutorial:step-28 [2012/01/29 16:41] straka
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	===== Exercise 2 =====		===== Exercise 2 =====
		+
		+	Implement the [[.:step-15|K-means clustering exercise]] in Java. Instead of an controlling script, use the Java class itself to execute the Hadoop job as many times as necessary.

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