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I am investigating a dataset and have found the outcome has three, or maybe four, distinct groups of data with positive correlation. enter image description here

I would like to fit two lines to classify my data points by which of the three trends they are part of. With the equations for these classifiers, I would then classify each point into high, middle, or low so I can examine correlations in the covariates.

My first thought would be to use the perceptron, but I would like to do this without going through and labeling each point by hand. What other approaches can I take to do this? Perhaps something regression based?

I realize I could fit trends by hand, but would like an automatic and reusable method so I can easily change model parameters.

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