AD Teaching Wiki:

Results for Exercise Sheet 9 (k-means clustering)

Please add your row to the table below, following the examples already there. 1. Build time = the time need to build the documents (in SPARSE representation) from an already built inverted index. Specify in minutes and seconds. 2. Clustering time = the total time for the clustering using k-means. Also specify in minutes and seconds. 3. RSS = the RSS after the last iteration, rounded to the next integer. 4. The number of iterations (each iteration consists of a step A and a step B). 5. Processor / RAM = the specs of the machine you used. Specify the processor frequency with exactly one digit after the dot, the amount of RAM as an integer, and don't provide secondary details about the processor. 6. Language = Java or C++.

Name

Build time

Clustering time

Final RSS

#Iterations

Processor / RAM

Language

Björn

1.6s

2m14s

68.836

14

Intel X5560 @ 2.8GHz / 36GB

C++

AD Teaching Wiki: InformationRetrievalWS1314/ResultsClustering (last edited 2013-12-17 15:28:33 by Björn Buchhold)