research
          
      
      ∙
      01/09/2023
    AI2: The next leap toward native language based and explainable machine learning framework
The machine learning frameworks flourished in the last decades, allowing...
          
            research
          
      
      ∙
      06/17/2022
    ck-means, a novel unsupervised learning method that combines fuzzy and crispy clustering methods to extract intersecting data
Clustering data is a popular feature in the field of unsupervised machin...
          
            research
          
      
      ∙
      06/17/2022
    Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
Evaluating the performance of an algorithm is crucial. Evaluating the pe...
          
            research
          
      
      ∙
      06/17/2022
    DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction
This paper discusses the critical decision process of extracting or sele...
          
            research
          
      
      ∙
      11/20/2021
    Feature selection or extraction decision process for clustering using PCA and FRSD
This paper concerns the critical decision process of extracting or selec...
          
            research
          
      
      ∙
      12/22/2020
     
             
  
  
     
                             share
 share