Global intuitionistic fuzzy weighted C-ordered means clustering algorithm
The paper proposes a novel approach to address the challenges of clustering datasets and
identifying outliers by utilizing the Atanassov intuitionistic fuzzy sets (AIFS) environment. The …
identifying outliers by utilizing the Atanassov intuitionistic fuzzy sets (AIFS) environment. The …
Model-based clustering of mixed data with sparse dependence
YG Choi, S Ahn, J Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Mixed data refers to a mixture of continuous and categorical variables. The clustering
problem with mixed data is a long-standing statistical problem. The latent Gaussian mixture …
problem with mixed data is a long-standing statistical problem. The latent Gaussian mixture …
Integrated sources model: A new space-learning model for heterogeneous multi-view data reduction, visualization, and clustering
P Fogel, C Geissler, F Augé, G Boldina… - Artificial Intelligence in …, 2024 - accscience.com
In machine learning, multi-view data involve multiple distinct sets of attributes (“views”) for a
common set of observations; when each view has the same attributes considered in different …
common set of observations; when each view has the same attributes considered in different …