clusterSim

Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas (metric data, interval-valued symbolic data), data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data). (doi:10.1007/BF02294245, doi:10.1007/BF01908075, doi:10.1080/01621459.1971.10482356, doi:10.1007/978-3-642-57280-7_11, doi:10.1007/BF01897163, doi:10.1007/978-3-642-55721-7_12, doi:10.1109/TPAMI.1979.4766909, doi:10.1080/03610927408827101, doi:10.1080/01621459.1974.10480191, doi:10.1111/1467-9868.00293, doi:10.1207/S15327906MBR3502_5, doi:10.1007/978-3-540-78246-9_11)

Last 30 days

This package has been downloaded 4,308 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 138 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 50,076 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. The day with the most downloads was Jun 13, 2024 with 802 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.