Results for Exercise Sheet 9 (k-means Clustering)

Please read the instructions below, before adding something to the table!

Add your row to the table below, following the examples already there. Column 2 = RSS value of your final clustering (rounded to the next integer). Column 3 = running time of your clustering in seconds (rounded to the next integer). Column 4 = the number of k-means clustering iterations you needed. Column 5 = machine specification as usual (processor frequency with exactly one digit after the dot, amount of RAM as an integer, no secondary details about processor). Column 6 = programming language (Java or C++).

Name

RSS

Running time

#Iterations

Processor / RAM

Language

Florian B

22113

169s

9

Intel X5560 @ 2.8GHz / 36GB

Java

Adrian+Susi

22203

295s

20

i5 3570K @ 3.4GHz / 8GB

C++

Matthias F

22124

1459s

12

i7 3612QM @ 3.0GHz / 8GB

C++

Katharina E

22113

468s

10

Intel 2630QM @ 2.0GHz / 4 GB

C++

Nikolaus

22100

288s

10

i3-3220 @ 3.3GHz / 8GB

C++

"

22038

623s

21

"

"

Niklas

22305

330s

20

Intel 2410M @ 2.3GHz / 8 GB

C++

Marius

22189

486s

10

i7 3667U @ 2.0 GHz / 8GB

C++

Philipp

22064

153s

9

Core 2 Quad @ 2.4 GHz / 4GB

C++

Jens S

22349

762s

14

AMD X2 250 @ 3.0GHz / 4GB

C++

Jan M

22265

1351s

14

Intel E5645 @ 2.4GHz / 23GB

C++

Markus F

22194

826s

5

Intel Core i5-2500K @ 3.30GHz / 8GB

C++

Christoph S

53670

1304s

8

Core2 Quad @ 2.8GHz / 4GB

C++

Christoph G

23146

128s

7

Core 2 Quad @ 2.4 GHz / 4GB

C++

Bettina H

22127

362s

20

Intel i3-2100 @ 3.10 GHz / 6GB

Java

Marc P

22193

152s

10

Intel i5-M480 @ 2.70GHz / 4GB

Java

Joachim W

25186

242s

11

Intel i5 @ 1.6GHz / 2GB

C++

Simon S

26784

241s

34

Intel X5560 @ 2.8GHz / 36GB

C++

AD Teaching Wiki: InformationRetrievalWS1213/ResultsClustering (last edited 2013-01-16 16:08:14 by stromboli)