The optimal number of clusters for the three data-sets obtained by using...
- plos.figshare.com
xlsUpdated Jun 9, 2023
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EmailClick to copy linkLink copiedCiteMatthias Dehmer; Frank Emmert-Streib; Shailesh Tripathi (2023). The optimal number of clusters for the three data-sets obtained by using consensus indices (CI). [Dataset]. http://doi.org/10.1371/journal.pone.0083956.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0083956.t002Dataset updatedJun 9, 2023AuthorsMatthias Dehmer; Frank Emmert-Streib; Shailesh TripathiLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe optimal numbers of clusters (for three data-sets) for a clustering solution is represented by the set , where is the optimal number of clusters in the data.
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- statsndata.org
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- researchdata.edu.au
Updated Nov 8, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteKoech Richard; Kumar Lalit; Langat Philip; Richard Koech; Philip Kibet Langat; Lalit Kumar; Kumar Lalit; Kibet Langat Philip (2019). Impacts of Climate Change and Land Use on Water Resources and River Dynamics Using Hydrologic Modelling, Remote Sensing and GIS: Towards Sustainable Development [Dataset]. https://researchdata.edu.au/1595073/1595073Dataset updatedNov 8, 2019Dataset provided byUniversity of New England, Australia
University of New EnglandAuthorsKoech Richard; Kumar Lalit; Langat Philip; Richard Koech; Philip Kibet Langat; Lalit Kumar; Kumar Lalit; Kibet Langat PhilipArea coveredDescriptionThe aerial photographs, taken on the 6th of February 1975 at a scale 1: 50 000, were obtained from the Survey of Kenya and were used to generate my original data.
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- statista.com
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FacebookTwitterEmailThe optimal number of clusters for the three data-sets obtained by using consensus indices (CI).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The optimal numbers of clusters (for three data-sets) for a clustering solution is represented by the set , where is the optimal number of clusters in the data.