Table 5 The parameters of the second artificial set Gaussian2
From: Big data decision tree for continuous-valued attributes based on unbalanced cut points
i | \(\varvec{ \mu }_{i}\) | \(\varvec{\Sigma }_{i}\) |
|---|---|---|
1 | \((0.0, 0.0, 0.0)^\text {T}\) | \(\left[ \begin{array}{ccc} 1.0 &{}0.0 &{}0.0\\ 0.0 &{}1.0 &{}0.0\\ 0.0 &{}0.0 &{}1.0 \end{array}\right]\) |
2 | \((0.0, 1.0, 0.0)^\text {T}\) | \(\left[ \begin{array}{ccc} 1.0 &{}0.0 &{}1.0\\ 0.0 &{}2.0 &{}2.0\\ 1.0 &{}2.0 &{}5.0 \end{array}\right]\) |
3 | \((-1.0, 0.0, 1.0)^\text {T}\) | \(\left[ \begin{array}{ccc} 2.0 &{}0.0 &{}0.0\\ 0.0 &{}6.0 &{}0.0\\ 0.0 &{}0.0 &{}1.0 \end{array}\right]\) |
4 | \((0.0, 0.5, 1.0)^\text {T}\) | \(\left[ \begin{array}{ccc} 2.0 &{}0.0 &{}0.0\\ 0.0 &{}1.0 &{}0.0\\ 0.0 &{}0.0 &{}3.0 \end{array}\right]\) |