CLUES

R package clues: Clustering Method Based on Local Shrinking , The package contains functions for automatically estimating the number of clusters and getting the final cluster partition without any input parameter except the stopping rule for convergence. The package also provides functions to evaluate and compare the performances of partitions of a data set both numerically and graphically. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 10 articles , 2 standard articles )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Rodríguez, Carlos E.; Núñez-Antonio, Gabriel; Escarela, Gabriel: A Bayesian mixture model for clustering circular data (2020)
  2. He, Zhenfeng; Yu, Chunyan: Clustering stability-based evolutionary K-means (2019)
  3. Suner, Aslı: Clustering methods for single-cell RNA-sequencing expression data: performance evaluation with varying sample sizes and cell compositions (2019)
  4. Chacón, José E.; Duong, Tarn: Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting (2013)
  5. Nicholas A. James, David S. Matteson: ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data (2013) arXiv
  6. Fang Chang; Weiliang Qiu; Ruben Zamar; Ross Lazarus; Xiaogang Wang: clues: An R Package for Nonparametric Clustering Based on Local Shrinking (2010) not zbMATH
  7. Fraiman, Ricardo; Justel, Ana; Svarc, Marcela: Pattern recognition via projection-based (k)NN rules (2010)
  8. Bécue-Bertaut, Mónica; Pagès, Jérôme: Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data (2008)
  9. Croux, Christophe (ed.); Gallopoulos, Efstratios (ed.); van Aelst, Stefan (ed.); Zha, Hongyuan (ed.): Editorial: Machine learning and robust data mining (2007)
  10. Wang, Xiaogang; Qiu, Weiliang; Zamar, Ruben H.: CLUES: a non-parametric clustering method based on local shrinking (2007)