All functions |
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Agglomerative Nesting (Hierarchical Clustering) |
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Agglomerative Nesting (AGNES) Object |
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European Union Agricultural Workforces |
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Attributes of Animals |
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Plot Banner (of Hierarchical Clustering) |
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Subset of C-horizon of Kola Data |
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Clustering Large Applications |
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Clustering Large Applications (CLARA) Object |
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Gap Statistic for Estimating the Number of Clusters |
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Bivariate Cluster Plot (clusplot) Default Method |
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Bivariate Cluster Plot (of a Partitioning Object) |
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Agglomerative / Divisive Coefficient for 'hclust' Objects |
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Dissimilarity Matrix Calculation |
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DIvisive ANAlysis Clustering |
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Dissimilarity Matrix Object |
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Compute the Ellipsoid Hull or Spanning Ellipsoid of a Point Set |
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Fuzzy Analysis Clustering |
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Fuzzy Analysis (FANNY) Object |
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Flower Characteristics |
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Permute Indices for Triangular Matrices |
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MONothetic Analysis Clustering of Binary Variables |
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Monothetic Analysis (MONA) Object |
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Partitioning Around Medoids |
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Partitioning Around Medoids (PAM) Object |
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Partitioning Object |
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Plant Species Traits Data |
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Plots of an Agglomerative Hierarchical Clustering |
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Plots of a Divisive Hierarchical Clustering |
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Banner of Monothetic Divisive Hierarchical Clusterings |
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Plot of a Partition of the Data Set |
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Plot Clustering Tree of a Hierarchical Clustering |
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Isotopic Composition Plutonium Batches |
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Predict Method for Ellipsoid Objects |
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Print Method for AGNES Objects |
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Print Method for CLARA Objects |
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Print Method for DIANA Objects |
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Print and Summary Methods for Dissimilarity Objects |
Print and Summary Methods for FANNY Objects |
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Print Method for MONA Objects |
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Print Method for PAM Objects |
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Ruspini Data |
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Compute or Extract Silhouette Information from Clustering |
Sample Size of Dissimilarity Like Object |
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Summary Method for 'agnes' Objects |
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Summary Method for 'clara' Objects |
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Summary Method for 'diana' Objects |
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Summary Method for 'mona' Objects |
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Summary Method for PAM Objects |
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Hierarchical Clustering Object |
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Compute the Volume (of an Ellipsoid) |
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Votes for Republican Candidate in Presidential Elections |
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Bivariate Data Set with 3 Clusters |