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 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

Patrick

5.6s

0m10s

331,874

14

i5-3320M CPU @ 2.6GHz / 8GB

Python

AD Teaching Wiki: InformationRetrievalWS1617/ResultsES9 (last edited 2016-12-20 01:34:38 by Patrick Brosi)