References in zbMATH (referenced in 179 articles , 1 standard article )

Showing results 1 to 20 of 179.
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  1. Zöller, Marc-André; Huber, Marco F.: Benchmark and survey of automated machine learning frameworks (2021)
  2. Afridi, Mohammad Khan; Azam, Nouman; Yao, JingTao: Variance based three-way clustering approaches for handling overlapping clustering (2020)
  3. Alonso, Andrés M.; Galeano, Pedro; Peña, Daniel: A robust procedure to build dynamic factor models with cluster structure (2020)
  4. Bhattacharya, Mrinmoyee: Unsupervised techniques in genomics (2020)
  5. Dangl, Rainer; Leisch, Friedrich: Effects of resampling in determining the number of clusters in a data set (2020)
  6. Fordellone, Mario; Vichi, Maurizio: Finding groups in structural equation modeling through the partial least squares algorithm (2020)
  7. Gauchon, Romain; Loisel, Stéphane; Rullière, Jean-Louis: Health policyholder clustering using medical consumption. A useful tool for targeting prevention plans (2020)
  8. Guillaume, Serge; Ros, Frédéric: A family of unsupervised sampling algorithms (2020)
  9. Haslbeck, Jonas M. B.; Wulff, Dirk U.: Estimating the number of clusters via a corrected clustering instability (2020)
  10. Kazakovtsev, Lev; Shkaberina, Guzel; Rozhnov, Ivan; Li, Rui; Kazakovtsev, Vladimir: Genetic algorithms with the crossover-like mutation operator for the (k)-means problem (2020)
  11. Kim, Joonpyo; Oh, Hee-Seok: Pseudo-quantile functional data clustering (2020)
  12. Monsuru Adepeju, Samuel Langton, Jon Bannister : Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets (2020) not zbMATH
  13. Shkaberina, Guzel Sh.; Orlov, Viktor I.; Tovbis, Elena M.; Kazakovtsev, Lev A.: On the optimization models for automatic grouping of industrial products by homogeneous production batches (2020)
  14. Sies, Aniek; Van Mechelen, Iven: C443: a methodology to see a forest for the trees (2020)
  15. Škrlj, Blaž; Kralj, Jan; Lavrač, Nada: Embedding-based silhouette community detection (2020)
  16. Smallman, Luke; Underwood, William; Artemiou, Andreas: Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination (2020)
  17. Tang, Ming; Liao, Huchang; Xu, Jiuping; Streimikiene, Dalia; Zheng, Xiaosong: Adaptive consensus reaching process with hybrid strategies for large-scale group decision making (2020)
  18. 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)
  19. 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)
  20. Xie, Jiang; Xiong, Zhong-Yang; Dai, Qi-Zhu; Wang, Xiao-Xia; Zhang, Yu-Fang: A new internal index based on density core for clustering validation (2020)

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