Article-cluster size (# of articles)
new weight
old weight
lower/upper
Articles count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
2
0.00
2.20
0.26/0.00
2.00
0.29
0.14
160.00
1.00
0.00
All clustering variants
Old ranking - len = 2
2 ■ 0.99/0.01 ■ 2 ■ 1.2
Best clustering variants
2 0.99/0.01 2 1.2
Parameters [10, 0.99, 0.01, 2] average weight 1.2 execution time 0.0s
NEW: semantic (merge_dist=0.35, adaptive=off) — 10 clusters
Cluster# (10)
new weight
old weight
lower/upper
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
6.09
13.58
0.00/0.24
2.00
1.58
0.79
267.00
5.00
16.00
7
0.00
0.00
0.00/0.00
1.00
0.00
0.00
140.00
10.00
0.00
5
0.00
0.00
0.00/0.00
1.00
0.00
0.00
122.00
11.00
0.00
9
0.00
0.00
0.00/0.00
1.00
0.00
0.00
238.00
5.00
0.00
4
0.00
0.00
0.00/0.00
1.00
0.00
0.00
114.00
6.00
0.00
8
0.00
0.00
0.00/0.00
1.00
0.00
0.00
110.00
7.00
0.00
3
0.00
0.00
0.00/0.00
1.00
0.00
0.00
134.00
8.00
0.00
1
0.00
0.00
0.00/0.00
1.00
0.00
0.00
19.00
12.00
0.00
6
0.00
0.00
0.00/0.00
1.00
0.00
0.00
128.00
3.00
0.00
2
0.00
0.00
0.00/0.00
1.00
0.00
0.00
72.00
4.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
0.00/0.24
6.09
13.58
2.00
1.58
0.79
267.00
5.00
16.00
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.79 | 10.48 | 1.00 | 26-09-17 19:44 | 1 | 0 | Менаџерот на ресторанот „Евет“, награден со две Мишелин ѕвездички, беше казнет со 5.4.
0.79 | 10.48 | 1.00 | 26-09-17 19:44 | 9 | 1 | Менаџерот на ресторанот „Евет“, награден со две Мишелин ѕвездички, беше казнет со 5.400 фу...еше казнет со 8.000 фунти, објави „Гардијан“.
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
7
0.00/0.00
0.00
0.00
1.00
0.00
0.00
140.00
10.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
5
0.00/0.00
0.00
0.00
1.00
0.00
0.00
122.00
11.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
9
0.00/0.00
0.00
0.00
1.00
0.00
0.00
238.00
5.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
4
0.00/0.00
0.00
0.00
1.00
0.00
0.00
114.00
6.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
8
0.00/0.00
0.00
0.00
1.00
0.00
0.00
110.00
7.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
3
0.00/0.00
0.00
0.00
1.00
0.00
0.00
134.00
8.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
1
0.00/0.00
0.00
0.00
1.00
0.00
0.00
19.00
12.00
0.00
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.00 | 0.00 | 1.00 | 26-09-17 19:44 | 12 | 8 | September 16, 2026.
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
6
0.00/0.00
0.00
0.00
1.00
0.00
0.00
128.00
3.00
0.00
Sentence-cluster ID (count= 10)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
2
0.00/0.00
0.00
0.00
1.00
0.00
0.00
72.00
4.00
0.00
OLD: TF-IDF K-Means (k=2) — 2 clusters
Cluster# (2)
new weight
old weight
lower/upper
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
0.00
3.10
3.36/0.00
8.00
0.49
0.06
986.00
6.88
14.86
1
0.00
2.26
0.84/0.00
3.00
0.26
0.09
358.00
7.00
0.67
Sentence-cluster ID (count= 2)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
3.36/0.00
0.00
3.10
8.00
0.49
0.06
986.00
6.88
14.86
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.22 | 2.95 | 6.00 | 26-09-17 19:44 | 11 | 3 | Тој рече дека го зел предвид фактот дека обвинетите се изјасниле за виновни за кривичното дело и немале претходни пресуди.
0.13 | 1.89 | 2.00 | 26-09-16 11:09 | 3 | 9 | Обвинителите бараа затворска казна за извршниот директор на „Евет“ откако на менито се најдоа инсекти неодобрени за консумација.
0.08 | 0.94 | 6.00 | 26-09-17 19:44 | 1 | 0 | Менаџерот на ресторанот „Евет“, награден со две Мишелин ѕвездички, беше казнет со 5.4.
0.08 | 0.94 | 2.00 | 26-09-16 11:09 | 4 | 10 | Јужнокорејски суд го казни операторот на еден од најпознатите сеулски р.
0.06 | 0.88 | 6.00 | 26-09-17 19:44 | 9 | 1 | Менаџерот на ресторанот „Евет“, награден со две Мишелин ѕвездички, беше казнет со 5.400 фу...еше казнет со 8.000 фунти, објави „Гардијан“.
0.06 | 0.88 | 6.00 | 26-09-17 19:44 | 10 | 2 | Судијата од Сеул, Ли Се-чанг, рече дека прекршокот не е тривијален бидејќи нивоата на тешк...али кај мравките биле над законската граница.
0.00 | 0.00 | 6.00 | 26-09-17 19:44 | 5 | 4 | Michelin-starred Seoul restaurant fined for using ants as garnish https://t.co/bcLTKkkOjc ...а, вклучувајќи скакулци, црви и свилени буби.
0.00 | 0.00 | 6.00 | 26-09-17 19:44 | 12 | 8 | September 16, 2026.
Sentence-cluster ID (count= 2)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
1
0.84/0.00
0.00
2.26
3.00
0.26
0.09
358.00
7.00
0.67