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Revision 11 as of 2015-12-20 21:46:06
AD Teaching Wiki:
  • InformationRetrievalWS1516
  • ResultsES9

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 needed to build the sparse term-document matrix from an already built inverted index. Specify in seconds. 2. Clustering time = the total time for the clustering using k-means (without building of the term-document matrix). 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 = probably Python.

Name

Build time

Clustering time

Final RSS

#Iterations

Processor / RAM

Language

Elmar

3.2s

0m24s

32

i7-6700 @ 3.4GHz / 64GB

Python

Marco

6.2s

3m26s

377516

21

i5-4278U @ 2.6GHz / 8GB

Python

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