holgerteichgraeber/TimeSeriesClustering.jl

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Language: Julia - Size: 171 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 82 - Forks: 23

GiatrasKon/Clustering-Countries-Socioeconomic-Health-Analysis

Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

Language: MATLAB - Size: 2.72 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

ryancodingg/Customer-segmentation-and-clustering-analysis

This project focuses on customer segmentation using unsupervised machine learning techniques. The goal is to analyze customer data, identify distinct customer groups (clusters), and extract useful insights for business decision-making.

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

DimFragk/Centroid-clustering-app

Selection of the best centroid based clustering version with k-medoids and k-means

Language: Python - Size: 260 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

KlimentLagrangiewicz/k-medoids

Implementation of k-medoids algorithm in C (standard C89/C90)

Language: C - Size: 2.48 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

GiatrasKon/Clustering_Algorithms_Analytical_and_Computational

Analytical and computational exploration of clustering algorithms, focusing on k-means and k-medians, with MATLAB implementations and synthetic dataset analyses.

Language: MATLAB - Size: 1.68 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

SaniyaAbushakimova/Brewing-Insights-with-Unsupervised-Learning

Conducted a comprehensive clustering analysis to categorize beers based on features such as Astringency, Alcohol content, Bitterness, Sourness, and more. Utilized k-medoids and hierarchical agglomerative clustering algorithms to achieve this classification. Tech: Python (numpy, pandas, seaborn, matplotlib, sklearn, scipy)

Language: Jupyter Notebook - Size: 50 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

alikashlan10/Heart-disease-clustering

statistical inference project with the task of clustering

Language: R - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

opsabarsec/E-commerce-customers-automatic-clustering

E-commerce customers automatic grouping by unsupervised ML/AI. Data from the Kaggle Olist dataset

Language: Jupyter Notebook - Size: 51.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

DiegoUsaiUK/K_Medoid_Clustering

Segmenting with Mixed Type Data - A Case Study Using K-Medoids on Subscription Data

Size: 757 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

mdshihabullah/federated-predicted-euclidean-distance

Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment

Language: Python - Size: 30.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Nabbo-datsct/-nabo-s-files

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

jialincheoh/tech_review Fork of CS410Assignments/tech_review

Comparing different clustering algorithms

Size: 303 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Cyanjiner/CADS-Capstone

This is a capstone research project for my Certificate in Applied Data Science (CADS) at my undergraduate institution, Wesleyan University, on the topic of "Understanding the Variances in COVID-19 Pandemic Outcome - Excess Mortality - with Social, Cultural, and Environmental Factors", sponsored by Prof. Maryam Gooyabadi.

Language: HTML - Size: 28.9 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

bnafack/Leukemia-data-analysis

Use unsupervised machine learning techniques to explore the Leukemia dataset by focusing more on dimensional reduction and clustering to find similarities between samples or how they are related to each other.

Language: R - Size: 708 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

saif-mahmud/Data-Mining-Lab

[CSE 4255] Introduction to Data Mining and Warehousing Lab

Language: TeX - Size: 49.6 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

orlovskiy-artem/graph-clustering

Graph clustering project using Markov clustering algorithm, K-medoid algorithm, Spectral algorithm with GUI PyQt5

Language: Python - Size: 336 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

adnanhakim/ml-algorithms

A fun side project to perform machine learning algorithms using plain java code.

Language: Java - Size: 36.1 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

kaustubhmulay/YorkU-customer-segment-analysis Fork of deenuy/YorkU-customer-segment-analysis

Repository for Customer Segment Analysis using Python & Shiny App Dashboard

Size: 4.51 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0