1. Imagine you are a strength and conditioning coach who wants to create different training regimes for players with different 40m sprint times (or different blood lactate levels or different deadlift numbers or whatever). Although it may not be feasible to make a different regime for each individual player (although that might be ideal), the next best thing would be to find 4-5 groups of players who have similar values and then make a different trainingregime for each group.

What algorithm is best to fit your need?

1. Logistic Regression
2. K-means Clustering
3. K-optimal Clustering
4. Collaborative Filtering