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--- courses:mapreduce-tutorial:step-15 [2012/01/28 23:23]
majlis Added links to previous and next chapter.
+++ courses:mapreduce-tutorial:step-15 [2012/01/29 16:40] (current)
straka
@@ Line 7: / Line 7: @@
 | ''/net/projects/hadoop/examples/inputs/points-large'' | 500000 | 200 | 200 |
-When dealing with iterative algorithms, each iteration is usually implemented as one Hadoop job. The Hadoop input_path contains the input data and each mapper also reads the current clusters. The reducers are used to aggregate the data and output new cluster centers. A controlling script is taking care of executing Hadoop jobs and stopping the iteration when the algorithm converges.
+When dealing with iterative algorithms, each iteration is usually implemented as one Hadoop job. The Hadoop ''input_path'' should contain the input data and each mapper should also read the current clusters. The reducers are used to aggregate the data and output new cluster centers. A controlling script should take care of executing Hadoop jobs and stopping the iteration when the algorithm converges.
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