References in zbMATH (referenced in 198 articles , 1 standard article )

Showing results 1 to 20 of 198.
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  1. Belohlavek, Radim; Mikula, Tomas: Typicality: a formal concept analysis account (2022)
  2. Scaldelai, D.; Matioli, L. C.; Santos, S. R.; Kleina, M.: MulticlusterKDE: a new algorithm for clustering based on multivariate kernel density estimation (2022)
  3. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  4. Alonso, Andrés M.; D’Urso, Pierpaolo; Gamboa, Carolina; Guerrero, Vanesa: Cophenetic-based fuzzy clustering of time series by linear dependency (2021)
  5. Bagherinia, Ali; Minaei-Bidgoli, Behrooz; Hosseinzadeh, Mehdi; Parvin, Hamid: Reliability-based fuzzy clustering ensemble (2021)
  6. Batool, Fatima; Hennig, Christian: Clustering with the average silhouette width (2021)
  7. Bertsimas, Dimitris; Orfanoudaki, Agni; Wiberg, Holly: Interpretable clustering: an optimization approach (2021)
  8. Calmon, Wilson; Albi, Mariana: Estimating the number of clusters in a ranking data context (2021)
  9. Fernández-Durán, Juan José; Gregorio-Domínguez, María Mercedes: Consumer segmentation based on use patterns (2021)
  10. Joe, Kirbi; Gooyabadi, Maryam: A Bayesian nonparametric mixture model for studying universal patterns in color naming (2021)
  11. Kharfan, Majd; Chan, Vicky Wing Kei; Firdolas Efendigil, Tugba: A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches (2021)
  12. Leung, Raymond; Balamurali, Mehala; Melkumyan, Arman: Sample truncation strategies for outlier removal in geochemical data: the MCD robust distance approach versus t-SNE ensemble clustering (2021)
  13. Oktoviany, Prilly; Knobloch, Robert; Korn, Ralf: A machine learning-based price state prediction model for agricultural commodities using external factors (2021)
  14. Sabater, Christian; Le Maître, Olivier; Congedo, Pietro Marco; Görtz, Stefan: A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources (2021)
  15. Tavakkol, Behnam; Jeong, Myong K.; Albin, Susan L.: Validity indices for clusters of uncertain data objects (2021)
  16. Vouros, Avgoustinos; Langdell, Stephen; Croucher, Mike; Vasilaki, Eleni: An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations (2021)
  17. Wang, Y. X. Rachel; Li, Lexin; Li, Jingyi Jessica; Huang, Haiyan: Network modeling in biology: statistical methods for gene and brain networks (2021)
  18. Zöller, Marc-André; Huber, Marco F.: Benchmark and survey of automated machine learning frameworks (2021)
  19. Afridi, Mohammad Khan; Azam, Nouman; Yao, JingTao: Variance based three-way clustering approaches for handling overlapping clustering (2020)
  20. Alonso, Andrés M.; Galeano, Pedro; Peña, Daniel: A robust procedure to build dynamic factor models with cluster structure (2020)

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