Table 1 The effect of the choice of features on spectral clustering
From: Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping
Optimal feature set | \(\mu _1\) | \(\mu _2\) | \(\mu _{sc}\) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
\(\xi _2\) |  |  |  |  |  |  |  | 0.459 | 0.225 | −0.234 |
\(\xi _2\) | \(\xi _8\) |  |  |  |  |  |  | 0.514 | 0.197 | −0.317 |
\(\xi _2\) | \(\xi _8\) | \(\xi _7\) |  |  |  |  |  | 0.491 | 0.205 | −0.286 |
\(\xi _2\) | \(\xi _8\) | \(\xi _7\) | \(\xi _5\) |  |  |  |  | 0.521 | 0.193 | −0.327* |
\(\xi _2\) | \(\xi _8\) | \(\xi _7\) | \(\xi _5\) | \(\xi _1\) |  |  |  | 0.495 | 0.206 | −0.286 |
\(\xi _2\) | \(\xi _8\) | \(\xi _7\) | \(\xi _5\) | \(\xi _1\) | \(\xi _4\) |  |  | 0.492 | 0.235 | −0.257 |
\(\xi _2\) | \(\xi _8\) | \(\xi _7\) | \(\xi _5\) | \(\xi _1\) | \(\xi _4\) | \(\xi _3\) |  | 0.483 | 0.235 | −0.248 |
\(\xi _2\) | \(\xi _8\) | \(\xi _7\) | \(\xi _5\) | \(\xi _1\) | \(\xi _4\) | \(\xi _3\) | \(\xi _6\) | 0.450 | 0.243 | −0.207 |