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CASTER algorithm source code in R

The University of Queensland
Mr Phil Dyer (Aggregated by) Mr Phil Dyer (Aggregated by) Mr Philip Dyer (Aggregated by) Mr Philip Dyer (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/a6c57fc&rft.title=CASTER algorithm source code in R&rft.identifier=RDM ID: c8199c68-280b-4317-8ac4-40466a580193&rft.publisher=The University of Queensland&rft.description=R package source code implementing the CASTER algorithm. The CASTER algorithm extends the CAST algorithm (Ben-Dor et al. 1999). This R package also provides the original CAST algorithm implemented in R. CASTER and CAST are correlation clustering algorithms for clustering data given the set of pairwise similarities among elements, and a similarity threshold. Ben-Dor, A., & Yakhini, Z. (1999, April). Clustering gene expression patterns. In Proceedings of the third annual international conference on Computational molecular biology (pp. 33-42). License: GNU General Public License V3&rft.creator=Mr Phil Dyer&rft.creator=Mr Phil Dyer&rft.creator=Mr Philip Dyer&rft.creator=Mr Philip Dyer&rft.date=2024&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=MATHEMATICAL SCIENCES&rft_subject=Statistics&rft_subject=Applied statistics&rft.type=dataset&rft.language=English Access the data
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s4087576@student.uq.edu.au
School of Mathematics and Physics

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R package source code implementing the CASTER algorithm. The CASTER algorithm extends the CAST algorithm (Ben-Dor et al. 1999). This R package also provides the original CAST algorithm implemented in R. CASTER and CAST are correlation clustering algorithms for clustering data given the set of pairwise similarities among elements, and a similarity threshold. Ben-Dor, A., & Yakhini, Z. (1999, April). Clustering gene expression patterns. In Proceedings of the third annual international conference on Computational molecular biology (pp. 33-42). License: GNU General Public License V3

Issued: 28 03 2024

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Applied Statistics | Conservation and Biodiversity | Environmental Sciences | Environmental Management | Mathematical Sciences | Statistics | eng |

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local : UQ:289097

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