References in zbMATH (referenced in 98 articles , 1 standard article )

Showing results 1 to 20 of 98.
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  1. Hargreaves, Jessica K.; Knight, Marina I.; Pitchford, Jon W.; Oakenfull, Rachael J.; Davis, Seth J.: Clustering nonstationary Circadian rhythms using locally stationary wavelet representations (2018)
  2. Pirim, Harun; Eksioglu, Burak; Glover, Fred W.: A novel mixed integer linear programming model for clustering relational networks (2018)
  3. Arroyo, Ángel; Herrero, Álvaro; Tricio, Verónica; Corchado, Emilio: Analysis of meteorological conditions in Spain by means of clustering techniques (2017)
  4. D’Urso, Pierpaolo; Maharaj, Elizabeth A.; Alonso, Andrés M.: Fuzzy clustering of time series using extremes (2017)
  5. Ferraro, Maria Brigida; Giordani, Paolo: Possibilistic and fuzzy clustering methods for robust analysis of non-precise data (2017)
  6. Harvill, Jane L.; Kohli, Priya; Ravishanker, Nalini: Clustering nonlinear, nonstationary time series using BSLEX (2017)
  7. Mısır, Mustafa; Sebag, Michèle: Alors: an algorithm recommender system (2017)
  8. Oskarsson, Magnus: Temporally consistent tone mapping of images and video using optimal $K$-means clustering (2017)
  9. Romano, Elvira; Balzanella, Antonio; Verde, Rosanna: Spatial variability clustering for spatially dependent functional data (2017)
  10. Shi, Peng; Shi, Kun: Territorial risk classification using spatially dependent frequency-severity models (2017)
  11. Sun, Jiehuan; Warren, Joshua L.; Zhao, Hongyu: A Bayesian semiparametric factor analysis model for subtype identification (2017)
  12. Van Craenendonck, Toon; Blockeel, Hendrik: Constraint-based clustering selection (2017)
  13. 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
  14. Fung, Glenn M.; Mangasarian, Olvi L.: Unsupervised and semisupervised classification via absolute value inequalities (2016)
  15. Goulet, D.: Modeling, simulating, and parameter Fitting of biochemical kinetic experiments (2016)
  16. Grillenzoni, Carlo: Design of blurring mean-shift algorithms for data classification (2016)
  17. Kannan, S. R.; Devi, R.; Ramathilagam, S.; Hong, T. P.; Ravikumar, A.: Effective kernel FCM: finding appropriate structure in cancer database (2016)
  18. Knauf, Konstantin; Memmert, Daniel; Brefeld, Ulf: Spatio-temporal convolution kernels (2016)
  19. Paul, Jomon Aliyas; MacDonald, Leo: Location and capacity allocations decisions to mitigate the impacts of unexpected disasters (2016)
  20. Ranalli, M. Giovanna; Rocco, Giorgia; Lasinio, Giovanna Jona; Moroni, Beatrice; Castellini, Silvia; Crocchianti, Stefano; Cappelletti, David: Functional exploratory data analysis for high-resolution measurements of urban particulate matter (2016)

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