A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.
Petros BarmpasSotiris K. TasoulisAristidis G. VrahatisSpiros V. GeorgakopoulosPanagiotis AnagnostouMatthew PrinaJosé Luis Ayuso-MateosJerome BickenbachIvet BayesMartin BobakFrancisco Félix CaballeroSomnath ChatterjiLaia Egea-CortésEsther García-EsquinasMatilde LeonardiSeppo KoskinenIlona KoupilAndrzej PajakMartin PrinceWarren SandersonSergei ScherbovAbdonas TamosiunasAleksander GalasJosep Maria HaroAlbert Sanchez-NiuboVassilis P. PlagianakosDemosthenes PanagiotakosPublished in: Health Inf. Sci. Syst. (2022)
Keyphrases
- hierarchical clustering
- prediction accuracy
- clustering method
- cluster ensemble
- neural network ensemble
- incremental clustering
- clustering algorithm
- hierarchical clustering algorithm
- partitional clustering
- ensemble methods
- text clustering
- single link
- ensemble classifier
- model based clustering
- agglomerative clustering
- ensemble clustering
- k means
- correlation clustering
- agglomerative hierarchical clustering
- training set
- training data