clustlearn 1.0.0

New features

• New kmeans() function to perform K-Means clustering on a set observations and (if selected) see the step-by-step clustering procedure;
• New dbscan() function to perform DBSCAN clustering on a set observations and (if selected) see the step-by-step clustering procedure;
• New 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;
• New agglomerative_clustering() function to perform Agglomerative Hierarchical Clustering clustering on a set observations and (if selected) see the step-by-step clustering procedure;
• New 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;
• New db1 data.frame with 500 observations (2 features) in the shape of two concentric circumferences;
• New db2 data.frame with 500 observations (2 features) in the shape of two rotated moons;
• New db3 data.frame with 500 observations (2 features) in the shape of three Gaussian distributions with varying parameters;
• New db4 data.frame with 500 observations (2 features) in the shape of three elongated clusters;
• New db5 data.frame with 500 observations (2 features) in the shape of three isotropic clusters;
• New db6 data.frame with 500 observations (2 features) randomly distributed across the bi-dimensional plane.

Initial CRAN submission