Research graph
References from A reproducible entropy-weighted Gower-CLARA-TOPSIS procedure for mixed-type MSME segmentation and prioritization. Local targets link to admitted publications; unresolved targets remain external evidence.
Advancing the PAM algorithm to semi-supervised k-medoids clustering
2025 · External reference
New distance-based robust clustering algorithms for large mixed-type data
10.1007/s11634-026-00701-9 · 2026 · External reference
Extended Hellwig’s method utilizing entropy-based weights and mahalanobis distance: applications in evaluating sustainable development in the education area
10.3390/e26030197 · 2024 · External reference
Subspace and metric space learning for coqualitative data clustering[J]
10.3934/era.2026188 · 2026 · External reference
EDMIX: an entropy-based dissimilarity measure to cluster mixed data comprising of numerical–nominal–ordinal attributes
10.1007/s10115-024-02319-9 · 2025 · External reference
Unresolved reference
1981 · External reference
Small and medium-sized enterprises: a tool for socioeconomic development
10.21833/ijaas.2024.12.014 · 2024 · External reference
Optimization of MSMEs clustering in sampang district using K-medoids method and silhouette coefficient method
10.34148/teknika.v14i1.1116 · 2025 · External reference
Segmentation of partial least squares structural equation modelling using kernel K-means clustering (PLS SEM KKC)
10.1016/j.mex.2025.103570 · 2025 · External reference
New distance-based robust clustering algorithms for large mixed-type data
10.1007/s11634-026-00701-9 · 2026 · External reference
Extensions to the k-means algorithm for clustering large data sets with categorical values
10.1023/a:1009769707641 · 1998 · External reference
Benchmarking distance-based partitioning methods for mixed-type data
10.1007/s11634-022-00521-7 · 2023 · External reference
A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses
10.1186/s12874-024-02427-8 · 2024 · External reference
A sentiment-driven framework for early detection of emerging business trends through multi-platform social media analytics
10.1016/j.mex.2026.103874 · 2026 · External reference
Normal workflow and key strategies for data cleaning toward real-world data: viewpoint,” interact
2023 · External reference
Imputation strategies for clustering mixed-type data with missing values
10.1007/s00357-022-09422-y · 2023 · External reference
A comparative study on univariate outlier winsorization methods in data science context,”
2024 · External reference
The impact of neglecting feature scaling in k-means clustering
10.1371/journal.pone.0310839 · 2024 · External reference
The five pillars of computational reproducibility: bioinformatics and beyond
2023 · External reference
Extended Hellwig’s method utilizing entropy-based weights and mahalanobis distance: applications in evaluating sustainable development in the education area
10.3390/e26030197 · 2024 · External reference
On generalized Gower distance for mixed-type data: extensive simulation study and new software tools
2025 · External reference
A tutorial-based survey on feature selection: recent advancements on feature selection
2023 · External reference
CGUFS: a clustering-guided unsupervised feature selection algorithm for gene expression data
10.1016/j.jksuci.2023.101731 · 2023 · External reference
A robust and high-dimensional clustering algorithm based on feature weight and entropy
10.3390/e25030510 · 2023 · External reference
A novel two-level entropy-weighted fuzzy C-means algorithm and its application for classifying urban patterns by residential building characteristics
10.3390/sym18050807 · 2026 · External reference
Medoid silhouette clustering with automatic cluster number selection
10.1016/j.is.2023.102290 · 2024 · External reference
An easy guide to the Davies-Bouldin index for unsupervised internal clustering evaluation
10.1007/s10791-026-10094-0 · 2026 · External reference
Unresolved reference
External reference
10.25080/majora-92bf1922-00a
10.25080/majora-92bf1922-00a · External reference
Array programming with NumPy
10.1038/s41586-020-2649-2 · 2020 · External reference
Unresolved reference
External reference
Clustering large mixed-type data with ordinal variables
10.1007/s11634-024-00595-5 · 2025 · External reference
A deterministic information bottleneck method for clustering mixed-type data
2025 · External reference
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm
10.1007/s11634-025-00639-4 · 2025 · External reference
Imputation strategies for clustering mixed-type data with missing values
10.1007/s00357-022-09422-y · ExternalCitation · doi-reference
EDMIX: an entropy-based dissimilarity measure to cluster mixed data comprising of numerical–nominal–ordinal attributes
10.1007/s10115-024-02319-9 · ExternalCitation · doi-reference
An easy guide to the Davies-Bouldin index for unsupervised internal clustering evaluation
10.1007/s10791-026-10094-0 · ExternalCitation · doi-reference
Benchmarking distance-based partitioning methods for mixed-type data
10.1007/s11634-022-00521-7 · ExternalCitation · doi-reference
Clustering large mixed-type data with ordinal variables
10.1007/s11634-024-00595-5 · ExternalCitation · doi-reference
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm
10.1007/s11634-025-00639-4 · ExternalCitation · doi-reference
New distance-based robust clustering algorithms for large mixed-type data
10.1007/s11634-026-00701-9 · ExternalCitation · doi-reference
Medoid silhouette clustering with automatic cluster number selection
10.1016/j.is.2023.102290 · ExternalCitation · doi-reference
CGUFS: a clustering-guided unsupervised feature selection algorithm for gene expression data
10.1016/j.jksuci.2023.101731 · ExternalCitation · doi-reference
Segmentation of partial least squares structural equation modelling using kernel K-means clustering (PLS SEM KKC)
10.1016/j.mex.2025.103570 · ExternalCitation · doi-reference
A sentiment-driven framework for early detection of emerging business trends through multi-platform social media analytics
10.1016/j.mex.2026.103874 · ExternalCitation · doi-reference
Extensions to the k-means algorithm for clustering large data sets with categorical values
10.1023/a:1009769707641 · ExternalCitation · doi-reference
Array programming with NumPy
10.1038/s41586-020-2649-2 · ExternalCitation · doi-reference
A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses
10.1186/s12874-024-02427-8 · ExternalCitation · doi-reference
The impact of neglecting feature scaling in k-means clustering
10.1371/journal.pone.0310839 · ExternalCitation · doi-reference
Small and medium-sized enterprises: a tool for socioeconomic development
10.21833/ijaas.2024.12.014 · ExternalCitation · doi-reference
10.25080/majora-92bf1922-00a
10.25080/majora-92bf1922-00a · ExternalCitation · doi-reference
A robust and high-dimensional clustering algorithm based on feature weight and entropy
10.3390/e25030510 · ExternalCitation · doi-reference
Extended Hellwig’s method utilizing entropy-based weights and mahalanobis distance: applications in evaluating sustainable development in the education area
10.3390/e26030197 · ExternalCitation · doi-reference
A novel two-level entropy-weighted fuzzy C-means algorithm and its application for classifying urban patterns by residential building characteristics
10.3390/sym18050807 · ExternalCitation · doi-reference
Optimization of MSMEs clustering in sampang district using K-medoids method and silhouette coefficient method
10.34148/teknika.v14i1.1116 · ExternalCitation · doi-reference
Subspace and metric space learning for coqualitative data clustering[J]
10.3934/era.2026188 · ExternalCitation · doi-reference
