geocmeans
Implementing Methods for Spatial Fuzzy Unsupervised Classification
Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed. The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 doi:10.1016/j.patcog.2006.07.011 and Zaho and al. 2013 doi:10.1016/j.dsp.2012.09.016) and recently applied in geography (see Gelb and Apparicio doi:10.4000/cybergeo.36414).
- Version0.3.4
- R version≥ 3.5
- LicenseGPL-2
- Needs compilation?Yes
- Languageen-CA
- geocmeans citation info
- Last release09/12/2023
Documentation
Team
Jeremy Gelb
MaintainerShow author detailsPhilippe Apparicio
Insights
Last 30 days
This package has been downloaded 303 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 16 times.
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Last 365 days
This package has been downloaded 3,889 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 Sep 11, 2024 with 38 downloads.
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Dependencies
- Imports17 packages
- Suggests19 packages
- Linking To2 packages