Using the Elbow Method and Silhouette Analysis to find the optimal K in K-Means Clustering.
-
Updated
Jan 27, 2024 - Jupyter Notebook
#
silhouette-analysis
Here are 26 public repositories matching this topic...
Unsupervised ML analysis of lifestyle data to uncover risk patterns for Dry Eye Disease
machine-learning clustering pca-analysis k-means hierarchical-clustering k-medoids dbscan-clustering r-studio wilcoxon-mann-whitney-test rand-index hopkins-statistic silhouette-analysis
-
Updated
Aug 28, 2025
Mapping post-Cold War UNGA voting blocs with overlap-weighted ratio-SMACOF MDS, PAM clustering, and categorical country-resolution co-clustering.
machine-learning r reproducible-research clustering political-science rstats unsupervised-learning international-relations united-nations co-clustering hierarchical-clustering k-medoids multidimensional-scaling smacof relational-data voting-behavior silhouette-analysis unga latent-block-model roll-call-votes
-
Updated
Aug 12, 2026 - R
Confidence in Assignments via K-partition Ensembles
clustering ranking ensemble-learning segmentation kmeans silhouette unsupervised-learning cluster-analysis clustering-algorithm kmeans-clustering hungarian-algorithm kmeans-algorithm unsupervised-machine-learning ensemble-clustering confidence-estimation clustering-ensemble filtering-data silhouette-score silhouette-coefficient silhouette-analysis
-
Updated
Aug 31, 2026 - Jupyter Notebook
Analysis to optimize services & resident satisfaction in senior living facilities by segmenting population based on characteristics & behaviors.
data-science machine-learning modeling jupyter-notebook pandas data-visualization seaborn unsupervised-machine-learning k-means-clustering elbow-method sklearn-library matplotlib-pyplot silhouette-analysis
-
Updated
Jun 12, 2024 - Jupyter Notebook
A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.
clustering statistical-learning silhouette k-means unsupervised-learning cluster-analysis clustering-evaluation cluster-validity-index wilcoxon-test silhouette-score silhouette-index wilcoxon-signed-rank silhouette-coefficient silhouette-analysis
-
Updated
Mar 2, 2026 - Jupyter Notebook
Unsupervised K-Means clustering of 198 BBMP wards into four climate-vulnerability archetypes, derived from satellite measurements of surface temperature, urbanisation, vegetation, and water-body proximity. Independently corroborates the cool-roof prioritisation produced by the companion supervised UHI model.
scikit-learn pca dimensionality-reduction unsupervised-learning modis google-earth-engine kmeans-clustering sentinel-2 urban-analytics modis-dataset climate-vulnerability silhouette-analysis climate-tech
-
Updated
May 28, 2026 - Python
Unsupervised ML project segmenting 660 AllLife Bank credit card customers using K-Means (k=3, silhouette=0.52) and Hierarchical Clustering (cophenetic=0.90). Includes EDA, clustering validation (elbow, silhouette, cophenetic), and business-actionable cluster profiling to guide targeted marketing and service improvements.
numpy scikit-learn pandas python3 seaborn scipy matplotlib outlier-detection unsupervised-learning feature-scaling hierarchical-clustering k-means-clustering elbow-method customer-segmentation dendrogram silhouette-analysis cluster-profiling
-
Updated
Mar 31, 2026 - Jupyter Notebook
Customer clustering using silhouette K-means and silhouette analysis on Python. Also using logistic regression on Python to predict top 30 customers.
-
Updated
Dec 14, 2022 - Jupyter Notebook
Data Mining - EDA, Feature Selection, Standardize, Remove Global Outliers, Normalize, Feature Extraction (with PCA), Clustering, Classification (baseline models and hyperparameter tuning with GridSearchCV).
data-mining clustering eda pca-analysis classification hyperparameter-tuning svm-classifier k-means-clustering gridsearchcv knn-classifier silhouette-analysis gaussian-mixture-clustering
-
Updated
Aug 12, 2022 - Jupyter Notebook
The project uses KMeans clustering on the Global Superstore dataset to categorize customers based on their buying habits, aiming to help retailers make better business decisions by tailoring their marketing strategies and improving their inventory management.
data-science machine-learning plotly seaborn kaggle matplotlib kmeans elbow-method silhouette-analysis
-
Updated
Feb 18, 2024 - Jupyter Notebook
This project explores customer segmentation and market analysis in the context of online retail using an online retail dataset. By applying advanced analytics, we aim to uncover insights that can drive strategic decisions and enhance business performance.
python data machine-learning clustering data-visualization data-analysis kmeans-clustering market-analysis silhouette-analysis
-
Updated
Apr 15, 2024 - Jupyter Notebook
Unsupervised machine learning
python eda data-visualization pca-analysis hierarchical-clustering unsupervised-machine-learning k-means-clustering calinski-harabaz-score silhouette-analysis davies-bouldin-score
-
Updated
Oct 24, 2023 - Jupyter Notebook
K-means clustering of chess games: feature engineering, optimal-K search, silhouette analysis, PCA visualization, and interpretable cluster archetypes. Full 10-step professional project plan included.
python data-science machine-learning chess clustering scikit-learn eda pandas pca kmeans feature-engineering unsupervised-learning lichess silhouette-analysis chess-analytics
-
Updated
Jun 4, 2026 - Python
Description: "Data preprocessing, K-Means clustering with Silhouette analysis, and PCA dimensionality reduction on microclimate, obesity, and gene expression datasets. Achieved 267% clustering improvement with PCA."
python machine-learning clustering scikit-learn pca dimensionality-reduction kmeans data-preprocessing unsupervised-learning silhouette-analysis
-
Updated
Dec 12, 2025 - Jupyter Notebook
A machine learning project that segments retail customers using K-Means and Hierarchical Clustering. The project includes data preprocessing, feature engineering, PCA, cluster evaluation, and visualization to generate actionable customer insights for targeted marketing.
-
Updated
Jul 4, 2026 - Jupyter Notebook
Unsupervised Learning - Using K Means algorithm to Cluster the customers.
machine-learning modeling pandas data-visualization seaborn kmeans-clustering unsupervised-machine-learning elbow-method datacleaning sklearn-library matplotlib-pyplot silhouette-analysis
-
Updated
May 3, 2023 - Jupyter Notebook
CompSil: Composite Silhouette for Cluster-Count Selection
python clustering model-selection silhouette k-means unsupervised-learning cluster-analysis unsupervised-machine-learning k-means-clustering cluster-count cluster-validation silhouette-score silhouette-analysis internal-validation
-
Updated
Sep 17, 2026 - Jupyter Notebook
Exact and approximate silhouette scoring with micro, macro, and cluster-weighted averages.
-
Updated
May 23, 2026 - Python
An analysis and approach to customer segmentation
-
Updated
Oct 30, 2022 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the silhouette-analysis topic, visit your repo's landing page and select "manage topics."