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| || aw281 || 5.73s || 31s || 5,265,714 || 36 || Intel® Core™ M-5Y51 CPU @ 1.10GHz || Python || || | || aw281 || 5.73s || 31s || 567654|| 55 || Intel® Core™ M-5Y51 CPU @ 1.10GHz || Python || || || sa215 || 7.39s || - || - || - || i7 @ 1.73GHz / 4GB RAM || Python || - || |
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 @ 2.6GHz / 8GB |
Python |
|
dk295 |
15.1s |
0m21s |
165,986 |
35 |
i7-5600U @ 2.6GHz / 12GB |
Python |
|
ff115 |
31.1s |
0m26s |
332,264 |
16 |
i5-3337U @ 1.8GHz / 4GB |
Python |
|
ak346 |
8.6s |
0m28s |
344,354 |
17 |
i7-4558U @ 2.8GHz / 16GB |
Python |
in process |
fe66 |
31.0s |
0m28s |
332,988 |
14 |
i5-5257U @ 2.7GHz / 16GB |
Python |
|
lg254 |
9.0s |
4m48s |
146,927 |
7 |
i7-3610QM @ 2.3GHz / 8GB |
Python |
Enlightenment......99% |
jc142 |
8.0s |
0m37s |
331,760 |
13 |
i5-2415M @ 2.3GHz / 8GB |
Python |
Application got rejected |
db278-om46 |
5.5s |
0m19s |
254,876 |
29 |
i7-4702HQ @ 2.2GHz / 12GB |
Python |
|
ts341 |
6.5s |
0m30s |
250,997 |
16 |
i5-4210U @ 1.7GHz / 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 @ 2.5GHz / 6GB |
Python |
|
dl34-tg75 |
8.0s |
0m23s |
331,011 |
15 |
E8400 @ 3.0GHz / 4GB |
Python |
|
ab766 |
8.3s |
0m28s |
250,607 |
15 |
i5-5200U @ 2.2GHz / 16GB |
Python |
|
cz4 |
3.8s |
0m33s |
848,776 |
13 |
i7-4770 @ 3.4GHz / 6GB RAM |
Python |
No distraction please. Have to finish the exercise. |
jg292 |
7.5s |
0m40s |
331,225 |
21 |
i5-4200M @ 2.5GHZ / 12GB |
Python |
|
ep90-je177 |
10.7s |
313 |
250542 |
50 |
|
Python |
|
jb657 |
7.5s |
0m17s |
165,543 |
10 |
i5-2520M @ 2.5GHz / 4GB |
Python |
too many excuses not to at hand |
sh477 |
9.0s |
0m11s |
330,738 |
8 |
i7-2670QM @ 2.2GHz / 6GB |
Python |
Became zen master only to find out that indeed 42 is THE answer. |
re55 |
7.0s |
0m3s |
3,635,837 |
2 |
i7-6700K @ 4.0GHz / 16 GB RAM |
Python |
Joined every Zen monastery in the world. |
km151 |
6.019s |
0m24s |
341,059 |
2 |
i5-2410M @ 2.3GHz × 4 / 6 GB RAM |
Python |
cheers from the Zen monastery. |
dn47 |
4.42s |
1m8s |
189,898 |
20 |
i7-6700 @ 3.4GHz |
Python |
in the monastary with the rest of the students from this course |
jl387 |
5.9s |
0m21s |
250,491 |
15 |
i5-3230M @ 2.6GHz / 16GB |
Python |
|
an145 |
13.47s |
1m17s |
5,265,714 |
36 |
i3 @ 2.3GHz / 4GB |
Python |
|
aw281 |
5.73s |
31s |
567654 |
55 |
Intel® Core™ M-5Y51 CPU @ 1.10GHz |
Python |
|
sa215 |
7.39s |
- |
- |
- |
i7 @ 1.73GHz / 4GB RAM |
Python |
- |