References in zbMATH (referenced in 174 articles , 1 standard article )

Showing results 1 to 20 of 174.
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  1. Afridi, Mohammad Khan; Azam, Nouman; Yao, JingTao: Variance based three-way clustering approaches for handling overlapping clustering (2020)
  2. Alonso, Andrés M.; Galeano, Pedro; Peña, Daniel: A robust procedure to build dynamic factor models with cluster structure (2020)
  3. Dangl, Rainer; Leisch, Friedrich: Effects of resampling in determining the number of clusters in a data set (2020)
  4. Fordellone, Mario; Vichi, Maurizio: Finding groups in structural equation modeling through the partial least squares algorithm (2020)
  5. Gauchon, Romain; Loisel, Stéphane; Rullière, Jean-Louis: Health policyholder clustering using medical consumption. A useful tool for targeting prevention plans (2020)
  6. Guillaume, Serge; Ros, Frédéric: A family of unsupervised sampling algorithms (2020)
  7. Kim, Joonpyo; Oh, Hee-Seok: Pseudo-quantile functional data clustering (2020)
  8. Monsuru Adepeju, Samuel Langton, Jon Bannister : Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets (2020) not zbMATH
  9. Sies, Aniek; Van Mechelen, Iven: C443: a methodology to see a forest for the trees (2020)
  10. Škrlj, Blaž; Kralj, Jan; Lavrač, Nada: Embedding-based silhouette community detection (2020)
  11. Smallman, Luke; Underwood, William; Artemiou, Andreas: Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination (2020)
  12. Tang, Ming; Liao, Huchang; Xu, Jiuping; Streimikiene, Dalia; Zheng, Xiaosong: Adaptive consensus reaching process with hybrid strategies for large-scale group decision making (2020)
  13. Tavares, Ana Helena; Raymaekers, Jakob; Rousseeuw, Peter J.; Brito, Paula; Afreixo, Vera: Clustering genomic words in human DNA using peaks and trends of distributions (2020)
  14. Wohlgemuth, Murilo; Fries, Carlos Ernani; Sant’Anna, Ângelo Márcio Oliveira; Giglio, Ricardo; Fettermann, Diego Castro: Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression (2020)
  15. Yu, Jaehong; Zhong, Hua; Kim, Seoung Bum: An ensemble feature ranking algorithm for clustering analysis (2020)
  16. Alexandrov, Boian S.; Stanev, Valentin G.; Vesselinov, Velimir V.; Rasmussen, Kim Ø.: Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers (2019)
  17. Alonso, Andrés M.; Peña, Daniel: Clustering time series by linear dependency (2019)
  18. Hearne, Gareth M.; Milne, Andrew J.; Dean, Roger T.: Distributional analysis of (n)-dimensional feature space for 7-note scales in 22-TET (2019)
  19. He, Zhenfeng; Yu, Chunyan: Clustering stability-based evolutionary K-means (2019)
  20. Iglesias, Félix; Zseby, Tanja; Ferreira, Daniel; Zimek, Arthur: MDCGen: multidimensional dataset generator for clustering (2019)

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