# Select Match

### Description
Given list of `[OBJ,OBJ]` pairs, these are assumed to be the result of a mapping operation, with the first and second columns identifying the `Source` and `Target` of such mappings, respectively.
This block selects the best (most likely) match for each OBJ in a column, if there are multiple candidates for a match. With the `Group on` parameter, the column to group on can be selected. All other pairs in the input will be discarded.

### Input
- `MAPPING [OBJ,OBJ]`: the candidate matches

### Output
- `RESULT [OBJ,OBJ]`: the best match for every item in the `Grouped on` column.

### Parameters
- `Group on`: whether to group on the first column (`Source`) or the second column (`Target`).
- `Method`: how to select the best match
  - `Highest score`: for each group, select the match with highest score
  - `Quadratic-normalized highest score`: for each group, consider only the first `Normalization window size` matches, normalize weights and select the highest score.