Cluster Polish urban legend texts
Cluster Polish urban legend texts the way folklorists do. [ver. 1.0.0]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
# | submitter | when | ver. | description | dev-0 NMI | test-A NMI | |
---|---|---|---|---|---|---|---|
24 | [anonymized] | 2017-06-05 15:44 | 1.0.0 | normalizacja vol3, dodanie pliku kmeans2.py | 0.6641120445586982 | 0.725198911237184 | |
23 | [anonymized] | 2017-06-05 15:42 | 1.0.0 | normalizacja vol3, dodanie pliku kmeans.py k-means | 0.6641120445586982 | 0.725198911237184 | |
39 | [anonymized] | 2017-06-05 15:36 | 1.0.0 | normalizacja vol3, dodanie pliku kmeans.py | 0.6860366207079274 | 0.6370441548849237 | |
12 | [anonymized] | 2017-06-04 14:19 | 1.0.0 | ver1 python ready-made k-means | N/A | 0.7661876348886398 | |
4 | [anonymized] | 2017-04-08 23:30 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, silly "stem" | 0.6819651062442174 | 0.8363680525690848 | |
2 | [anonymized] | 2017-04-08 23:26 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, silly "stem" | 0.6648013380341287 | 0.8502615000174009 | |
1 | [anonymized] | 2017-04-08 23:21 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, silly "stem" python self-made k-means | 0.6803747241423944 | 0.8572291518635689 | |
3 | [anonymized] | 2017-04-08 23:20 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, silly "stem" | 0.7093359271301919 | 0.8386703415534659 | |
5 | [anonymized] | 2017-04-08 22:45 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, stemmed with stempel python self-made | 0.669673757100901 | 0.8043141668771794 | |
6 | [anonymized] | 2017-04-08 22:43 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, stemmed with stempel | 0.7003945651468501 | 0.7818413876696954 | |
38 | [anonymized] | 2017-04-08 22:36 | 1.0.0 | bezosobowo v2 | 0.6925516594392771 | 0.6370441548849237 | |
37 | [anonymized] | 2017-04-08 22:34 | 1.0.0 | bezosobowo v1 | 0.6860181676217268 | 0.6431710167511843 | |
34 | [anonymized] | 2017-04-08 22:25 | 1.0.0 | normalizacja vol9 k-means | 0.6888944811430445 | 0.6636071426947387 | |
51 | [anonymized] | 2017-04-08 22:23 | 1.0.0 | normalizacja vol8 | 0.6226236126001983 | 0.4383496001775261 | |
35 | [anonymized] | 2017-04-08 22:14 | 1.0.0 | parametry vol8 | 0.6994303289921318 | 0.6566253274048532 | |
41 | [anonymized] | 2017-04-08 22:12 | 1.0.0 | parametry vol7 | 0.6784258330266995 | 0.6131434972327906 | |
36 | [anonymized] | 2017-04-08 22:09 | 1.0.0 | parametry vol6 | 0.6412291748018083 | 0.6436939870190814 | |
27 | [anonymized] | 2017-04-08 22:07 | 1.0.0 | parametry vol5 | 0.6791281743571093 | 0.7112280072929971 | |
22 | [anonymized] | 2017-04-08 22:06 | 1.0.0 | parametry vol4 | 0.6791281743571096 | 0.7254145120173199 | |
21 | [anonymized] | 2017-04-08 22:05 | 1.0.0 | parametry vol3 k-means | 0.6641120445586981 | 0.7256574023468709 | |
28 | [anonymized] | 2017-04-08 22:03 | 1.0.0 | parametry vol2 | 0.6703107514350614 | 0.7076750286002943 | |
30 | [anonymized] | 2017-04-08 22:01 | 1.0.0 | parametry vol1 | 0.712311181463451 | 0.7032417861802746 | |
16 | [anonymized] | 2017-04-08 22:00 | 1.0.0 | test23 | N/A | 0.7525558102510004 | |
13 | [anonymized] | 2017-04-08 22:00 | 1.0.0 | test22 | N/A | 0.76506435223652 | |
9 | [anonymized] | 2017-04-08 21:59 | 1.0.0 | test21 | N/A | 0.7727240355098017 | |
40 | [anonymized] | 2017-04-08 21:59 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, stemmed with stempel python self-made | 0.8108488650175038 | 0.6311174364125615 | |
11 | [anonymized] | 2017-04-08 21:58 | 1.0.0 | test20 | N/A | 0.7686236548680393 | |
10 | [anonymized] | 2017-04-08 21:58 | 1.0.0 | test19 | N/A | 0.7704728669288838 | |
50 | [anonymized] | 2017-04-08 21:57 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method, with stopwords, stemmed with stempel | 0.612345911495219 | 0.43850562786776626 | |
15 | [anonymized] | 2017-04-08 21:57 | 1.0.0 | test18 | N/A | 0.7553315504755335 | |
7 | [anonymized] | 2017-04-08 21:56 | 1.0.0 | test17 k-means | N/A | 0.774448924903754 | |
54 | [anonymized] | 2017-04-08 21:56 | 1.0.0 | normalizacja vol3 | 0.5731522866057539 | 0.4221557449019918 | |
8 | [anonymized] | 2017-04-08 21:55 | 1.0.0 | test16 | N/A | 0.7732666505010413 | |
14 | [anonymized] | 2017-04-08 21:54 | 1.0.0 | test15 | N/A | 0.7585787066638439 | |
17 | [anonymized] | 2017-04-08 21:53 | 1.0.0 | test 14 | N/A | 0.7517518694326962 | |
18 | [anonymized] | 2017-04-08 21:52 | 1.0.0 | test13 | N/A | 0.7513798284851543 | |
31 | [anonymized] | 2017-04-08 21:51 | 1.0.0 | test12 | N/A | 0.6896885498866929 | |
19 | [anonymized] | 2017-04-08 21:50 | 1.0.0 | test11 | N/A | 0.7494799841643507 | |
53 | [anonymized] | 2017-04-08 21:49 | 1.0.0 | test10 | N/A | 0.42716076199884595 | |
25 | [anonymized] | 2017-04-08 21:48 | 1.0.0 | test9 | N/A | 0.7231681457851038 | |
26 | [anonymized] | 2017-04-08 21:47 | 1.0.0 | test8 | N/A | 0.7227188669889255 | |
29 | [anonymized] | 2017-04-08 21:46 | 1.0.0 | test7 | N/A | 0.7035814928616418 | |
32 | [anonymized] | 2017-04-08 21:45 | 1.0.0 | test6 | N/A | 0.6775900329008118 | |
33 | [anonymized] | 2017-04-08 21:44 | 1.0.0 | test5 | N/A | 0.6695197387554171 | |
42 | [anonymized] | 2017-04-08 21:42 | 1.0.0 | test4 | N/A | 0.6016830746788923 | |
44 | [anonymized] | 2017-04-08 21:40 | 1.0.0 | test3 | N/A | 0.5735621842938592 | |
47 | [anonymized] | 2017-04-08 21:38 | 1.0.0 | test 2 | N/A | 0.5134718324451454 | |
48 | [anonymized] | 2017-04-08 21:35 | 1.0.0 | normalizacja vol2 | 0.6672042420586912 | 0.49300219099093795 | |
49 | [anonymized] | 2017-04-08 21:35 | 1.0.0 | test | N/A | 0.4527400993100195 | |
52 | [anonymized] | 2017-04-08 21:10 | 1.0.0 | normalizacja vol1 | 0.6498809182532715 | 0.43580389279809945 | |
46 | [anonymized] | 2017-04-08 20:31 | 1.0.0 | test | 0.5312920471595906 | 0.5256551832074122 | |
43 | [anonymized] | 2017-04-08 19:45 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method (K≅16), with stopwords, silly "stem" python self-made | 0.8373352752476644 | 0.5881295779548537 | |
45 | [anonymized] | 2017-04-08 19:42 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method (K≅13), with stopwords, silly "stem" | 0.8148725590211685 | 0.547713348357848 | |
57 | [anonymized] | 2017-04-08 19:40 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method (K≅8), with stopwords, silly "stem" | 0.6934862017762761 | 0.32757312335854644 | |
56 | [anonymized] | 2017-04-08 19:36 | 1.0.0 | k-medoids, k-means++ initialization, cosine similarity, tf-idf, elbow method (K≅10), with stopwords, silly "stem" | 0.8301887650889045 | 0.389981887625358 | |
55 | [anonymized] | 2017-04-08 12:56 | 1.0.0 | k-medoids, k-means++ initialization, euclidean distance, tf-idf, elbow method (K≅11), with stopwords, silly "stem" python self-made | 0.8276508148065742 | 0.41562595291857507 | |
58 | [anonymized] | 2017-04-08 12:40 | 1.0.0 | k-medoids, k-means++ initialization, tf-idf, elbow method (K≅8), without stopwords, silly "stem" python self-made | 0.7550669619647504 | 0.32496544673203104 | |
20 | p/tlen | 2017-03-26 20:15 | 1.0.0 | stupid solution... stupid | 0.6568363109561032 | 0.7387854240025928 |