## A note on the formal implementation of the $$K$$-means algorithm with hard positive and negative constraints.(English)Zbl 07300773

Summary: The paper discusses a new approach for incorporating hard constraints into the $$K$$-means algorithm for semi-supervised clustering. An analytic modification of the objective function of $$K$$-means is proposed that has not been previously considered in the literature.

### MSC:

 62H30 Classification and discrimination; cluster analysis (statistical aspects)

### Keywords:

$$K$$-means; semi-supervised clustering; hard constraints

MixSim
Full Text:

### References:

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