`get_k()` is an internal function used by `build_k()` to calcualte similarity kernel for each pair of observations
get_k(y1, y2, sigma, dist_metric = "euclidean")
| y1 | - [NxP] Matrix of data from bag i |
|---|---|
| y2 | - [NxP] Matrix of data from bag j |
| sigma | - [scaler] smoothing hyperparameters for RBF kernel |
| dist_metric | [character] One of the distance methods from rdist::cdist. Default = "euclidean". see ?rdist::cdist |
Matrix G
This function takes two data.frames or matricies, calculates the cross distance between them, and then applies a radial basis function to the resulting distance matrix.