# Performs Tests for Cluster Tendency of a Data Set

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 clusterability-package clusterability: a package to perform tests of clusterability clusterability clusterability: a package to perform tests of clusterability clusterabilitytest Perform a test of clusterability normals1 Data generated from a single multivariate Normal distribution, 2 dimensions. normals2 Data generated from a mixture of two multivariate Normal distributions, 2 dimensions. A dataset containing 150 observations generated from a mixture of two multivariate Normal distributions. 75 observations come from a distribution with mean vector (-3, -2) with each variable having unit variance and uncorrelated with each other. 75 observations come from a distribution with mean vector (1, 1) with each variable having unit variance and uncorrelated with each other. The dataset is clusterable. normals3 Data generated from a mixture of three multivariate Normal distributions, 2 dimensions. A dataset containing 150 observations generated from a mixture of three multivariate Normal distributions. 50 observations are from a distribution with mean vector (3, 0), 50 observations from a distribution with mean vector (0, 3), and 50 observations from a distribution with mean vector (3, 6). For each of these three distributions, the x and y variables have unit variance and are uncorrelated. The dataset is clusterable. normals4 Data generated from a mixture of two multivariate Normal distributions, 3 dimensions. A dataset containing 150 observations generated from a mixture of two multivariate Normal distributions. 75 observations come from a distribution with mean vector (1, 3, 2) and 75 observations come from a distribution with mean vector (4, 6, 0). For each distribution, the variables each have unit variance and are uncorrelated. The dataset is clusterable. normals5 Data generated from a mixture of three multivariate Normal distributions, 3 dimensions. A dataset containing 150 observations generated from a mixture of three multivariate Normal distributions. 50 observations come from a distribution with mean vector (1, 3, 3), 50 observations come from a distribution with mean vector (4, 6, 0), and 50 observations come from a distribution with mean vector (2, 8, -3). For each distribution, the variables each have unit variance and are uncorrelated. The dataset is clusterable. print.clusterability Print a clusterability object