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New features
kmeans() function to perform K-Means clustering on
a set observations and (if selected) see the step-by-step clustering
procedure;dbscan() function to perform DBSCAN clustering on a
set observations and (if selected) see the step-by-step clustering
procedure;gaussian_mixture() function to perform Gaussian
Mixture Model with Expectation Maximization clustering on a set
observations and (if selected) see the step-by-step clustering
procedure;agglomerative_clustering() function to perform
Agglomerative Hierarchical Clustering clustering on a set observations
and (if selected) see the step-by-step clustering procedure;divisive_clustering() function to perform Divisive
Hierarchical Clustering (Bisecting K-Means) clustering on a set
observations and (if selected) see the step-by-step clustering
procedure;db1 data.frame with 500 observations (2 features)
in the shape of two concentric circumferences;db2 data.frame with 500 observations (2 features)
in the shape of two rotated moons;db3 data.frame with 500 observations (2 features)
in the shape of three Gaussian distributions with varying
parameters;db4 data.frame with 500 observations (2 features)
in the shape of three elongated clusters;db5 data.frame with 500 observations (2 features)
in the shape of three isotropic clusters;db6 data.frame with 500 observations (2 features)
randomly distributed across the bi-dimensional plane.Initial CRAN submission
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.