dclust
Divisive Hierarchical Clustering
Contains a single function dclust() for divisive hierarchical clustering based on recursive k-means partitioning (k = 2). Useful for clustering large datasets where computation of a n x n distance matrix is not feasible (e.g. n > 10,000 records). For further information see Steinbach, Karypis and Kumar (2000) http://glaros.dtc.umn.edu/gkhome/fetch/papers/docclusterKDDTMW00.pdf.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release09/05/2019
Team
Shaun Wilkinson
Paolo Giordani
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Last 30 days
This package has been downloaded 139 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 1,955 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Apr 17, 2024 with 22 downloads.
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- Imports2 packages