Cluster validity refers to the evaluation of the quality and effectiveness of the clusters formed by a clustering algorithm, ensuring that the results are meaningful and useful for the given dataset. It involves both internal and external validation measures to assess how well the clusters represent the inherent structure of the data and how they compare to known classifications.