We anticipate clustering players based on a weighted average of their last three years of data. However, a scenario might arise where a player misses a season. We will need to figure out a way to deal with this missing data. Options include ignoring the data, lowering the weight for that season, or imputing an average value for the missed games.
We anticipate clustering players based on a weighted average of their last three years of data. However, a scenario might arise where a player misses a season. We will need to figure out a way to deal with this missing data. Options include ignoring the data, lowering the weight for that season, or imputing an average value for the missed games.