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Decide for number of clusters
Hello,
I have extracted SSE, Avg. Sil width and Davies&Bouldin for 20 iterations on my data. The result table is below. I'm confused regarding choosing best k, since each method supports different k. Any idea/hint what should I do more?
Kind regards,
I have extracted SSE, Avg. Sil width and Davies&Bouldin for 20 iterations on my data. The result table is below. I'm confused regarding choosing best k, since each method supports different k. Any idea/hint what should I do more?
k | SSE | ASW | DB |
2 | 0.37492 | 0.89744 | 0.87625 |
3 | 0.19361 | 0.85002 | 1.37602 |
4 | 0.13999 | 0.76005 | 1.48418 |
5 | 0.07712 | 0.77031 | 1.60937 |
6 | 0.0579 | 0.76518 | 1.68158 |
7 | 0.03498 | 0.48512 | 1.84476 |
8 | 0.02939 | 0.57871 | 1.67001 |
9 | 0.01929 | 0.60316 | 1.62707 |
10 | 0.017 | 0.60372 | 1.61378 |
11 | 0.0175 | 0.60847 | 1.94819 |
12 | 0.01321 | 0.62244 | 1.66382 |
13 | 0.01197 | 0.63113 | 1.81006 |
14 | 0.01056 | 0.63378 | 1.80031 |
15 | 0.00845 | 0.64645 | 1.89968 |
16 | 0.00928 | 0.65362 | 1.69712 |
17 | 0.00618 | 0.65596 | 1.65225 |
18 | 0.00581 | 0.65596 | 1.59732 |
19 | 0.00605 | 0.65103 | 1.71599 |
20 | 0.00433 | 0.66539 | 1.68256 |
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