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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...
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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...
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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...
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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...
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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...
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12/22/2020