WCluster
Clustering and PCA with Weights, and Data Nuggets Clustering
K-means clustering, hierarchical clustering, and PCA with observational weights and/or variable weights. It also includes the corresponding functions for data nuggets which serve as representative samples of large datasets. doi:10.1007/978-3-031-22687-8_20. doi:10.1002/9780470317129.
- Version1.3.0
- R versionR (≥ 3.5.0)
- LicenseGPL-2
- Needs compilation?No
- Last release03/17/2025
Team
Yajie Duan
MaintainerShow author detailsGe Cheng
Show author detailsRolesAuthorJavier Cabrera
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 292 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 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 2,732 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 152 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.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports1 package