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← Revision 33 as of 2013-01-16 16:08:14 ⇥
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| = Results for Exercise Sheet 9 (Clustering) = | = Results for Exercise Sheet 9 (k-means Clustering) = |
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| ||'''Name''' ||'''RSS''' ||'''Running time''' ||'''#Iterations''' ||'''Processor / RAM''' ||'''Language''' || ||Florian B ||22113 ||169s||9 ||Intel X5560 @ 2.8GHz / 36GB ||Java || ||Adrian+Susi ||22404 ||206s||15 ||i5 3570K @ 3.4GHz / 8GB ||C++ || |
||<tablewidth="711px" tableheight="545px">'''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++|| |
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++ |