References in zbMATH (referenced in 283 articles , 1 standard article )

Showing results 1 to 20 of 283.
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  1. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  2. Batool, Fatima; Hennig, Christian: Clustering with the average silhouette width (2021)
  3. Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller: MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox (2021) arXiv
  4. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
  5. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  6. Chunaev, Petr: Community detection in node-attributed social networks: a survey (2020)
  7. Guillaume, Serge; Ros, Frédéric: A family of unsupervised sampling algorithms (2020)
  8. Jafrai, Hamed; Golalizadeh, Mousa: Comparing model-based versus (k)-means clustering for the planar shapes (2020)
  9. Li, Qing; Yao, Kehui; Zhang, Xinyu: A change-point detection and clustering method in the recurrent-event context (2020)
  10. Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.: Mini-batch learning of exponential family finite mixture models (2020)
  11. Olver, Peter J.; Qu, Changzheng; Yang, Yun: Feature matching and heat flow in centro-affine geometry (2020)
  12. Saraiva, Erlandson F.; Suzuki, Adriano K.; Milan, Luís A.: A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (2020)
  13. 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)
  14. Shan, Qianqian; Hong, Yili; Meeker, William Q.: Seasonal warranty prediction based on recurrent event data (2020)
  15. Sharma, Rahul; Ribeiro, Bernardete; Pinto, Alexandre Miguel; Cardoso, F. Amílcar: Learning non-convex abstract concepts with regulated activation networks. A hybrid and evolving computational modeling approach (2020)
  16. Vassilevski, Yuri; Terekhov, Kirill; Nikitin, Kirill; Kapyrin, Ivan: Parallel finite volume computation on general meshes (2020)
  17. Xu, Jinfeng; Yue, Mu; Zhang, Wenyang: A new multilevel modeling approach for clustered survival data (2020)
  18. Yu, Jaehong; Zhong, Hua; Kim, Seoung Bum: An ensemble feature ranking algorithm for clustering analysis (2020)
  19. Zheng, Peng; Aravkin, Aleksandr: Relax-and-split method for nonconvex inverse problems (2020)
  20. Buchholz, Stefanie; Gamst, Mette; Pisinger, David: A comparative study of time aggregation techniques in relation to power capacity expansion modeling (2019)

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