clustering-algorithms
There are 77 repositories under clustering-algorithms topic.
SfDS-Project-Final
Understanding the COVID-19 situation in the USA using Statistical Analysis
ML-Clustering
Build and evaluate clustering models using PySpark 3.0.1 library.
Market_Segmentation
Master's Project - Clustering Problem
graph-clustering
This repository provides classic clustering algorithms and various internal cluster quality validation metrics and also visualization capabilities to analyse the clustering results
machine-learning-superdatascience
Machine Learning codes
Learning-to-Link
Finding the best linkage strategy for bottom up clustering algorithms - ICLR 2020.
fuzzy_models
Comprehensive Python toolkit for fuzzy clustering algorithms, featuring multiple state-of-the-art methods with a unified API for research and data analysis.
llm_faithfulness_hallucination_misalignment_detection
End-to-End Python implementation of Semantic Divergence Metrics (SDM) for LLM hallucination detection. Uses ensemble paraphrasing, joint embedding clustering, and information-theoretic measures (JSD, KL divergence, Wasserstein distance) to quantify prompt-response semantic consistency. Based on Halperin (2025).
Adaptive-Engagement-Intelligence-Platform
Digital platforms today need more than static dashboards, they require adaptive systems that continuously learn from user activity. This project develops a behavioural intelligence framework that dynamically groups interaction patterns, surfaces critical risk indicators, and enables strategic actions to influence experience outcomes.
Clustering-Antarctic-Penguin-Species
This project aims to explore the classification of Antarctic penguin species based on their physical measurements using unsupervised machine learning techniques. The dataset, known as the Palmer Penguins dataset, includes key features such as bill length, bill depth, flipper length, body mass, and sex.
ML-Driven-Clustering-of-Onboarding-Users-Strategies-for-Enhanced-Conversion
Bachelor thesis is submitted in fulfilment of the requirements for the Bachelor of Science degree in the Department of Business Analytics and Information Technologies at the Faculty of Applied Sciences of Ukrainian Catholic University.
movie-synopsis-cluster-analysis
This project applies unsupervised learning techniques to cluster movies based on their synopses and analyze the correlation between clusters and genres.
Data-Driven-Data-Science-Curriculum-Design
A data-driven approach to designing an optimal Data Science curriculum. This project extracts skills from job postings, applies NLP and clustering techniques (K-Means, Hierarchical, DBSCAN), and maps industry demands to educational recommendations. Uses Python, Scikit-learn, OpenAI embeddings, and Seaborn for visualization.
Customer-Segmentation-using-RFM-Analysis
The Customer Segmentation using RFM Analysis project classifies customers based on Recency, Frequency, and Monetary (RFM) metrics to target personalized marketing strategies. It helps businesses enhance customer retention and optimize marketing efforts.
DataAnalyzeApi
ASP.NET Core Web API for data analysis through similarity calculation and clustering algorithms. Processes datasets with mixed numerical and categorical parameters using custom-implemented algorithms.
Neurogenomics_Project
This project focuses on analyzing sequencing data to understand molecular mechanisms of neurological diseases and predict the effectiveness of immunotherapy in breast cancer patients. It integrates Python and R scripts for data processing, statistical analysis, and visualization, alongside a comprehensive report detailing methods and findings.
Energy_Access_and_Electrification_Planning_in_Kenya
Geospatial deep learning classification for optimal placement of wind renewables in Kenya.
VisualizationSystem
Data analysis application that allows to cluster and visualize multi-parameter data using graphs and plots.
Categorical-data-clustering-25-years-beyond-K-modes
Categorical data clustering: 25 years beyond K-modes
common-clustering-algorithms
Implement several common used clustering algorithms using python
Comperative_Analysis_of_Clustering_Algorithms
Demonstrating the application of clustering algorithms with various parameter sets and feature combinations, along with necessary data preprocessing tasks in Python.
PreOwnedCars_Price_Prediction_Model_V2.0-
An additional metric 'Man_dep_OP' (average_manufacturer_depreciation_per_odometer_price_ratio) is introduced for better results. An Extension project for Version1.0.0
combinatorial-cluster-deletion
Official implementation of "Simpler, Faster, and Better Combinatorial Approximations for Cluster Deletion"
Programming-for-Data-Analysis
This repository contains exercises from "Programming for Data Analysis" course from the first semester of my master's studies.
ml_pt_course
Учебные листы по 'Стохастическому анализу и его приложениях в машинном обучении'
clustering-indian-stock-market-ipo
extracting knowledge about indian stock market IPOs by analysing different types of clustering and graph plots for visualization.
Graph_Clustering
This repository contains a variety of algorithms designed for graph clustering problems.
website-neurlyai
Neural Nets and Deep Learning concepts and implementations applied to real-life data.
Data-Science-ML-Projects
Houses projects that implements Machine learning and Data science concepts
Cluster-Analysis
A comparison on different clustering algorithms using different datasets with performance measurements is shown here.
Clustering_Term_Project
Clustering project for assessment of Unsupervised Learning lecture (Jacek Lewkowicz)
ebay-challenge
eBay evalAI challenge
DM-Project-Final
Customer Segmentation using Clustering Algorithms
LSH-HyperCube-and-Clustering-Algorithms
Searching similar images (represented as vectors from MNIST dataset) and clustering on them.
Clustering-Algorithms
Here i have used mall customers data to implement KMeans, Hierarchal and DBScan clustering algorithms