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  "Title": "Performs Tests for Cluster Tendency of a Data Set",
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  "Description": "Test for cluster tendency (clusterability) of a data set.\nThe methods implemented - reducing the data set to a single\ndimension using principal component analysis or computing\npairwise distances, and performing a multimodality test like\nthe Dip Test or Silverman's Critical Bandwidth Test - are\ndescribed in Adolfsson, Ackerman, and Brownstein (2019)\n<doi:10.1016/j.patcog.2018.10.026> and Laborde et al. (2023)\n<doi: 10.1186/s12859-023-05210-6>. Such methods can inform\nwhether clustering algorithms are appropriate for a data set.",
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