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++ |
Niklas |
22405 |
330s |
20 |
Intel 2410M @ 2.3GHz / 8 GB / 8GB |
C++ |