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
3.93
5.17
0.00/0.12
2.00
0.67
0.34
163.00
1.00
0.00
All clustering variants
Old ranking - len = 2
2 ■ 0.99/0.01 ■ 2 ■ 0.0
Best clustering variants
2 0.99/0.01 2 0.0
Parameters [10, 0.99, 0.01, 2] average weight 0.0 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
0.00
7.62
0.10/0.00
2.00
0.89
0.45
262.00
15.50
20.25
6
0.00
0.00
0.00/0.00
1.00
0.00
0.00
134.00
12.00
0.00
9
0.00
0.00
0.00/0.00
1.00
0.00
0.00
106.00
13.00
0.00
8
0.00
0.00
0.00/0.00
1.00
0.00
0.00
201.00
14.00
0.00
7
0.00
0.00
0.00/0.00
1.00
0.00
0.00
158.00
15.00
0.00
4
0.00
0.00
0.00/0.00
1.00
0.00
0.00
196.00
16.00
0.00
3
0.00
0.00
0.00/0.00
1.00
0.00
0.00
121.00
17.00
0.00
5
0.00
0.00
0.00/0.00
1.00
0.00
0.00
221.00
18.00
0.00
2
0.00
0.00
0.00/0.00
1.00
0.00
0.00
52.00
19.00
0.00
1
0.00
0.00
0.00/0.00
1.00
0.00
0.00
201.00
2.00
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
0.10/0.00
0.00
7.62
2.00
0.89
0.45
262.00
15.50
20.25
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
134.00
12.00
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
106.00
13.00
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
201.00
14.00
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
7
0.00/0.00
0.00
0.00
1.00
0.00
0.00
158.00
15.00
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
196.00
16.00
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
121.00
17.00
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
221.00
18.00
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
52.00
19.00
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
201.00
2.00
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
7.18
2.29/0.00
7.00
1.01
0.14
1100.00
12.57
26.24
1
0.00
6.77
0.87/0.00
4.00
0.78
0.20
552.00
17.25
2.19
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
2.29/0.00
0.00
7.18
7.00
1.01
0.14
1100.00
12.57
26.24
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.24 | 3.41 | 6.00 | 26-09-26 16:38 | 20 | 9 | Фото за вовед: YouTube видео: Embedded video for Термални камери ќе ги детектираат пожарит...тегорија: Македонија Новинар: Зоран Ѓеоргиев.
0.22 | 3.28 | 6.00 | 26-09-26 16:38 | 16 | 5 | Камерите ќе имаат радиус на покривање од над 15 километри и ќе овозможат ефикасно лоцирање...државата станаа еден од најголемите проблеми.
0.17 | 2.65 | 6.00 | 26-09-26 16:38 | 14 | 3 | Системот користи комбинација од сензори, термални и оптички камери и софтвер, кои автоматс...и оган на мапираните депонии и целиот регион.
0.17 | 2.65 | 1.00 | 26-09-28 10:06 | 2 | 10 | СО ПАРИ ОД ЕУ БОСИЛОВО ЌЕ ПОСТАВИ СИСТЕМ СО ТЕРМАЛНИ КАМЕРИ ЗА ДЕТЕКЦИЈА НА ПОЖАРИ ВО ДЕПО...РЕБАРАЈ МЕНИ МЕНИ Вести Сите Вести Култура М.
0.19 | 2.44 | 6.00 | 26-09-26 16:38 | 13 | 2 | Вкупниот буџет изнесува 1,3 милиони евра, од кои околу 300 илјади евра се наменети за македонската страна.
0.13 | 1.80 | 6.00 | 26-09-26 16:38 | 12 | 1 | Се работи за проект што се реализира со поддршка на Европската унија како дел од прекуграничната соработка помеѓу Македонија и Грција.
0.06 | 0.77 | 6.00 | 26-09-26 16:38 | 11 | 0 | Со термални камери ќе се детектираат пожарите и потпалувачите на депониите во струмичкиот регион.
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
0.87/0.00
0.00
6.77
4.00
0.78
0.20
552.00
17.25
2.19