#acl All:read,write
= Results for Exercise Sheet 9 (k-means clustering) =
Please add your row to the table below, following the examples already there. 1. Build time = the time need to build the documents (in SPARSE representation) from an already built inverted index. Specify in minutes and seconds. 2. Clustering time = the total time for the clustering using k-means. Also specify in minutes and seconds. 3. RSS = the RSS after the last iteration, rounded to the next integer. 4. The number of iterations (each iteration consists of a step A and a step B). 5. Processor / RAM = the specs of the machine you used. Specify the processor frequency with exactly one digit after the dot, the amount of RAM as an integer, and don't provide secondary details about the processor. 6. Language = Java or C++.
||'''Name''' ||'''Build time''' ||'''Clustering time''' ||'''Final RSS''' ||'''#Iterations''' ||'''Processor / RAM''' ||'''Language''' ||
||Björn ||1.6s ||2m14s ||68,836 ||14 ||Intel X5560 @ 2.8GHz / 36GB ||C++ ||
||Daniel ||2.2s ||2m4s ||68,673 ||14 ||Intel i7-920 @ 3.2GHz / 14GB ||C++ ||
||Manuel ||1.5s ||0m15s ||68,408 ||17 ||Intel E3-1230v3 @ 3.7GHz / 4GB (VM) ||C++ ||
||Oier ||5.5s ||7m12s ||68,355 ||17 ||Intel Core i5 M 450 @ 2.40GHz / 4GB ||Java ||
||Jerome ||1.5s ||2m19s ||68,583 ||14 ||Intel X5675 @ 3.07GHz / 20GB ||C++ ||
||Janosch ||1.9s ||28s ||69,965 ||5 ||Intel i7-3520M @ 2.9GHz / 8GB ||C++ ||
||Jens ||2.0s ||2m37s ||69377 ||5 ||Intel i3-2310M @ 2.10GHz / 4GB ||C++ ||
||MichaelR||1s||4m5s||68.288||18||Intel® Core™ i7-2630QM CPU @ 2.00GHz × 8 ||C++||
||Björn H||1s||23m||82,310||10||Intel® Core™ i7-4702MQ CPU @ 2.20GHz × 8||C++||
||Wera / Freya||3.2s||3m33s||20,035||5||AMD A6-5357M @ 1.40GHz × 2 / 8GB ||C++||
||ManuelS||2.7s||2m32s||69073||5||Intel® Core™ i5-4288U CPU @ 2.60GHz / 8GB ||C++||
||Diego||5.7s||45m27s||325||5||Intel Core 2 Duo T5450 @ 1.7GHz / 2GB ||C++||