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++ |