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  "Title": "Fast, Robust, and Outlier Resistant Hierarchical Clustering",
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  "Description": "Implements a basic version of the hierarchical clustering\nalgorithm 'Genie' which links two point groups in such a way\nthat an inequity measure (namely, the Gini index) of the\ncluster sizes does not significantly increase above a given\nthreshold. This method most often outperforms many other data\nsegmentation approaches in terms of clustering quality as\ntested on a wide range of benchmark datasets. At the same time,\nGenie retains the high speed of the single linkage approach,\ntherefore it is also suitable for analysing larger data sets.\nFor more details see (Gagolewski et al. 2016\n<DOI:10.1016/j.ins.2016.05.003>). For a faster and more\nfeature-rich implementation, see the 'genieclust' package\n(Gagolewski, 2021 <DOI:10.1016/j.softx.2021.100722>).",
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