Othniel MEJABI·Jun 20Unsupervised-ML: Understanding the SME Customer Behind the Credit Score in Nigeria.Unsupervised clustering on a synthetic dataset of 2 million Nigerian SME loan records reveals three distinct customer profiles and what…
Gita Das, PhD·May 25K-Means Clustering Made Simple Using Penguin DataClustering is one of the most widely used unsupervised machine learning (ML) techniques. It helps discover hidden patterns in data by…
Jeremiah J. U. Omueti·Jan 18K-Means Clustering: A Beginner’s GuideWhen you hear k-means algorithm or clustering, think ‘group by similarity’. K-means clustering often finds patterns among several items and…
InData Science + AI at MicrosoftbyVickie Liu·Jan 13From chaos to clarity: Building taxonomies from unstructured text using Large Language ModelsBy Vickie Liu and Cary Li
InData And BeyondbyNahid Ahmadvand·Dec 22, 2025From Clustering to Anomaly Detection on Olivetti FacesPCA → K-Means → “distance features” → GMM likelihood → reconstruction error
Karne Siddhartha·Dec 5, 2025What Is Unsupervised Learning?Unsupervised Learning is a type of machine learning where the computer learns patterns from data that has NO correct answers (no labels).
Farah Maqbool·Nov 3, 2025K-Means Clustering AlgorithmK-Means is an unsupervised learning algorithm used to form clusters or groups of similar data. It works on unlabeled data and identifies…
Jayarabihay·Sep 23, 2025Día 22 de 100 días de aprendizaje y creación de proyectos de Machine Learning: Clustering y Elbow…
samathi sapumana·Sep 2, 2025Sorting Without Labels: Clustering in Unsupervised Learning with K-means | by SamathiWhat is Unsupervised Learning?
Abhishek Jain·Jul 9, 2025UML Part 8 — Silhouette Score — Validating Clustering modelsTo calculate which cluster is closet to the current cluster, we have some methods to do so
