#acl All:read,write
= 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++).
||<tablestyle="width: 711px; height: 264px;">'''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||22388||1028s||11||AMD X2 250 @ 3.0GHz / 4GB||C++||
||Jan M||22265||1351s||14||Intel E5645 @ 2.4GHz / 23GB||C++||