References in zbMATH (referenced in 269 articles , 1 standard article )

Showing results 1 to 20 of 269.
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  1. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  2. Guillaume, Serge; Ros, Frédéric: A family of unsupervised sampling algorithms (2020)
  3. Li, Qing; Yao, Kehui; Zhang, Xinyu: A change-point detection and clustering method in the recurrent-event context (2020)
  4. Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.: Mini-batch learning of exponential family finite mixture models (2020)
  5. Saraiva, Erlandson F.; Suzuki, Adriano K.; Milan, Luís A.: A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (2020)
  6. Sayed, Gehad Ismail; Darwish, Ashraf; Hassanien, Aboul Ella: Binary whale optimization algorithm and binary moth flame optimization with clustering algorithms for clinical breast cancer diagnoses (2020)
  7. Shan, Qianqian; Hong, Yili; Meeker, William Q.: Seasonal warranty prediction based on recurrent event data (2020)
  8. Vassilevski, Yuri; Terekhov, Kirill; Nikitin, Kirill; Kapyrin, Ivan: Parallel finite volume computation on general meshes (2020)
  9. Xu, Jinfeng; Yue, Mu; Zhang, Wenyang: A new multilevel modeling approach for clustered survival data (2020)
  10. Yu, Jaehong; Zhong, Hua; Kim, Seoung Bum: An ensemble feature ranking algorithm for clustering analysis (2020)
  11. Zheng, Peng; Aravkin, Aleksandr: Relax-and-split method for nonconvex inverse problems (2020)
  12. Buchholz, Stefanie; Gamst, Mette; Pisinger, David: A comparative study of time aggregation techniques in relation to power capacity expansion modeling (2019)
  13. Ceselli, Alberto; Fiore, Marco; Premoli, Marco; Secci, Stefano: Optimized assignment patterns in mobile edge cloud networks (2019)
  14. Etesami, S. Rasoul: A simple framework for stability analysis of state-dependent networks of heterogeneous agents (2019)
  15. Fernández, Daniel; Arnold, Richard; Pledger, Shirley; Liu, Ivy; Costilla, Roy: Finite mixture biclustering of discrete type multivariate data (2019)
  16. Kharoubi, Rachid; Oualkacha, Karim; Mkhadri, Abdallah: The cluster correlation-network support vector machine for high-dimensional binary classification (2019)
  17. Maragoudakis, Manolis: Data analysis, simulation and visualization for environmentally safe maritime data (2019)
  18. Sciacchitano, Federica; Lugaro, Silvio; Sorrentino, Alberto: Sparse Bayesian imaging of solar flares (2019)
  19. Steinley, Douglas L.; Brusco, M. J.: Using an iterative reallocation partitioning algorithm to verify test multidimensionality (2019)
  20. Suner, Aslı: Clustering methods for single-cell RNA-sequencing expression data: performance evaluation with varying sample sizes and cell compositions (2019)

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