|
Size: 1156
Comment:
|
Size: 3381
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 4: | Line 4: |
| ||'''Name''' ||'''Build time''' ||'''Clustering time''' ||'''Final RSS''' ||'''#Iterations''' || '''Processor / RAM''' ||'''Language''' || ||Patrick || 5.6s || 0m10s || 331,874 || 14 || i5-3320M CPU @ 2.6GHz / 8GB || Python || |
||'''Name''' ||'''Build time''' ||'''Clustering time''' ||'''Final RSS''' ||'''#Iterations''' || '''Processor / RAM''' ||'''Language''' ||'''Joined a Zen monastery?''' || ||Patrick || 5.6s || 0m10s || 331,874 || 14 || i5-3320M CPU @ 2.6GHz / 8GB || Python |||| ||dk295 || 15.1s || 0m21s || 165,986 || 35 || i7-5600U CPU @ 2.6GHz / 12GB || Python |||| ||ff115 || 31.1s || 0m26s || 332,264 || 16 || i5-3337U CPU @ 1.80GHz / 4GB || Python |||| ||ak346 || 8.6s || 0m28s || 344,354 || 17 || i7-4558U CPU @ 2.80GHz / 16GB || Python ||in process|| ||fe66 || 31.0s || 0m28s || 332,988 || 14 || i5-5257U CPU @ 2.70GHz / 16GB || Python |||| ||lg254 || 9.0s || 4m48s || 146,927 || 7 || i7-3610QM CPU @ 2.30GHz / 8GB || Python ||Enlightment......99%|| ||jc142 || 8.0s || 0m37s || 331,760 || 13 || i5-2415M CPU @ 2.30GHz / 8GB || Python ||Application got rejected|| ||db278-om46 || 5.5s || 0m19s || 254,876 || 29 || i7-4702HQ CPU @ 2.20GHz / 12GB || Python |||| ||ts341 || 6.5s || 0m30s || 250,997 || 16 || i5-4210U CPU @ 1.70GHz / 8GB || Python ||坐禅してみると涅槃に入っちゃった。誰か助けて。|| ||ia42 || 5.5s || 0m12s || 250,645 || 8 || i5-4200M CPU @ 2.50GHz/6GB || Python |||| ||Daniel, Thomas || 8.0s || 0m23s || 331,011 || 15 || Intel Duo E8400 CPU @ 3.0GHz / 4GB || Python |||| ||ab766 || 8.3s || 0m28s || 250,607 || 15 || Intel® Core™ i5-5200U CPU @ 2.20GHz / 16GB || Python |||| ||cz4 || 3.8s || 0m33s || 848,776 || 13 || Intel® Core™ i7-4770 CPU @ 3.40GHz × 8 - 6GB RAM || Python || No distraction please. Have to finish the exercise.|| |
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 needed to build the sparse term-document matrix from an already built inverted index. Specify in seconds. 2. Clustering time = the total time for the clustering using k-means (without building of the term-document matrix). 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 = probably Python.
Name |
Build time |
Clustering time |
Final RSS |
#Iterations |
Processor / RAM |
Language |
Joined a Zen monastery? |
Patrick |
5.6s |
0m10s |
331,874 |
14 |
i5-3320M CPU @ 2.6GHz / 8GB |
Python |
|
dk295 |
15.1s |
0m21s |
165,986 |
35 |
i7-5600U CPU @ 2.6GHz / 12GB |
Python |
|
ff115 |
31.1s |
0m26s |
332,264 |
16 |
i5-3337U CPU @ 1.80GHz / 4GB |
Python |
|
ak346 |
8.6s |
0m28s |
344,354 |
17 |
i7-4558U CPU @ 2.80GHz / 16GB |
Python |
in process |
fe66 |
31.0s |
0m28s |
332,988 |
14 |
i5-5257U CPU @ 2.70GHz / 16GB |
Python |
|
lg254 |
9.0s |
4m48s |
146,927 |
7 |
i7-3610QM CPU @ 2.30GHz / 8GB |
Python |
Enlightment......99% |
jc142 |
8.0s |
0m37s |
331,760 |
13 |
i5-2415M CPU @ 2.30GHz / 8GB |
Python |
Application got rejected |
db278-om46 |
5.5s |
0m19s |
254,876 |
29 |
i7-4702HQ CPU @ 2.20GHz / 12GB |
Python |
|
ts341 |
6.5s |
0m30s |
250,997 |
16 |
i5-4210U CPU @ 1.70GHz / 8GB |
Python |
坐禅してみると涅槃に入っちゃった。誰か助けて。 |
ia42 |
5.5s |
0m12s |
250,645 |
8 |
i5-4200M CPU @ 2.50GHz/6GB |
Python |
|
Daniel, Thomas |
8.0s |
0m23s |
331,011 |
15 |
Intel Duo E8400 CPU @ 3.0GHz / 4GB |
Python |
|
ab766 |
8.3s |
0m28s |
250,607 |
15 |
Intel® Core™ i5-5200U CPU @ 2.20GHz / 16GB |
Python |
|
cz4 |
3.8s |
0m33s |
848,776 |
13 |
Intel® Core™ i7-4770 CPU @ 3.40GHz × 8 - 6GB RAM |
Python |
No distraction please. Have to finish the exercise. |