Differences between revisions 11 and 24 (spanning 13 versions)

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++

-  ⇤ ← Revision 11 as of 2014-01-04 19:01:39 → 
  Size: 1280
  Editor: 225
  Comment:
+   ← Revision 24 as of 2014-01-14 15:56:04 → ⇥
  Size: 1764
  Editor: fp-192-52-25-48
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 3:
-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 ||
+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++||