#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 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 ||Enlightenment......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 || E8400 CPU @ 3.0GHz / 4GB || Python |||| ||ab766 || 8.3s || 0m28s || 250,607 || 15 || i5-5200U CPU @ 2.20GHz / 16GB || Python |||| ||cz4 || 3.8s || 0m33s || 848,776 || 13 || i7-4770 CPU @ 3.40GHz / 6GB RAM || Python || No distraction please. Have to finish the exercise.|| ||jg292|| 7.5s|| 0m40s|| 331,225|| 21|| i5-4200 M CPU@ 2.5GHZ/12GB||Python|| || || ep90-je177 || 10.7s || 0m16s || 250542 || 43 || i7-3770 @ 3.4GHz / 16GB || Python || || || jb657 || 7.5s || 0m17s || 165,543 || 10 || i5-2520M CPU @ 2.5GHz / 4GB || Python || too many excuses not to at hand || || sh477 || 9.0s || 0m11s || 330,738 || 8 || i7-2670QM CPU @ 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 CPU @ 4.00GHz / 16 GB RAM || Python || Joined every Zen monastery in the world. || || km151 || 6.019s || 0m24s || 341,059 || 2 || i5-2410M CPU @ 2.30GHz × 4 / 6 GB RAM || Python || cheers from the Zen monastery. || || dn47 || 4.42s || 1m8s || 189,898 || 20 || Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz || Python || in the monastary with the rest of the students from this course || || jl387 || 5.9s || 0m21s || 250,491 || 15 || i5-3230M CPU @ 2.60GHz 16GB || Python || || || an145 || 13.47s || 1m17s || 5,265,714 || 36 || Intel i3 @ 2.3GHz / 4GB || Python || ||