References in zbMATH (referenced in 80 articles , 1 standard article )

1. Romano, Elvira; Balzanella, Antonio; Verde, Rosanna: Spatial variability clustering for spatially dependent functional data (2017)
2. Dehghan Firoozabadi, Ali; Abutalebi, Hamid Reza: A novel nested circular microphone array and subband processing-based system for counting and DOA estimation of multiple simultaneous speakers (2016) ioport
3. Fung, Glenn M.; Mangasarian, Olvi L.: Unsupervised and semisupervised classification via absolute value inequalities (2016)
4. Goulet, D.: Modeling, simulating, and parameter Fitting of biochemical kinetic experiments (2016)
5. Grillenzoni, Carlo: Design of blurring mean-shift algorithms for data classification (2016)
6. Kannan, S.R.; Devi, R.; Ramathilagam, S.; Hong, T.P.; Ravikumar, A.: Effective kernel FCM: finding appropriate structure in cancer database (2016)
7. Knauf, Konstantin; Memmert, Daniel; Brefeld, Ulf: Spatio-temporal convolution kernels (2016)
8. Paul, Jomon Aliyas; MacDonald, Leo: Location and capacity allocations decisions to mitigate the impacts of unexpected disasters (2016)
9. Cordeiro de Amorim, Renato: Feature relevance in Ward’s hierarchical clustering using the $L_p$ norm (2015)
10. Karmakar, B.; Dhara, K.; Dey, K.K.; Basu, A.; Ghosh, A.K.: Tests for statistical significance of a treatment effect in the presence of hidden sub-populations (2015)
11. Acilar, Ayşe Merve; Arslan, Ahmet: A novel approach for designing adaptive fuzzy classifiers based on the combination of an artificial immune network and a memetic algorithm (2014) ioport
12. de Amorim, Renato Cordeiro; Mirkin, Boris: Selecting the Minkowski exponent for intelligent K-means with feature weighting (2014)
13. Kou, Gang; Peng, Yi; Wang, Guoxun: Evaluation of clustering algorithms for financial risk analysis using MCDM methods (2014) ioport
14. Priam, Rodolphe; Nadif, Mohamed; Govaert, Gérard: Topographic Bernoulli block mixture mapping for binary tables (2014)
15. Saraiva, Erlandson F.; Louzada, Francisco; Milan, Luis: Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm (2014)
16. Xu, Kevin S.; Kliger, Mark; Hero, Alfred O.III: Adaptive evolutionary clustering (2014)
17. Albertini, Marcelo Keese; Fernandes De Mello, Rodrigo: Energy-based function to evaluate data stream clustering (2013)
18. Bashon, Yasmina; Neagu, Daniel; Ridley, Mick J.: A framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes (2013) ioport
19. De Smet, Wim; Moens, Marie-Francine: Representations for multi-document event clustering (2013)
20. Guillaume, Serge; Charnomordic, Brigitte; Loisel, Patrice: Fuzzy partitions: a way to integrate expert knowledge into distance calculations (2013)