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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.

clustering optimization julia hierarchical-clustering k-means-clustering energy-systems k-medoids-clustering representative-days time-series-aggregation

Updated Jan 20, 2021
Julia

opsabarsec / E-commerce-customers-automatic-clustering

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

t-sne dbscan-clustering unsupervised-machine-learning k-means-clustering k-medoids-clustering

Updated Mar 4, 2021
Jupyter Notebook

GianlucaPorcelli / Clustering

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Library and hand-made clustering algorithms are implemented in this project

pca silhouette gaussian-mixture-model gaussian-processes dbscan k-medoids hdbscan k-means-implementation-in-python k-means-clustering k-medoids-clustering

Updated Dec 21, 2019
Python

mdshihabullah / federated-predicted-euclidean-distance

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

machine-learning optics-clustering pearson-correlation euclidean-distance federated-learning k-medoids-clustering spearman-rank-correlation

Updated Jan 11, 2022
Python

SaniyaAbushakimova / Brewing-Insights-with-Unsupervised-Learning

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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)

python t-sne unsupervised-learning hierarchical-clustering dendrogram k-medoids-clustering silhouette-score

Updated Jul 13, 2024
Jupyter Notebook

GiatrasKon / Clustering-Countries-Socioeconomic-Health-Analysis

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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.

machine-learning clustering matlab data-visualization feature-selection pca data-analysis country-data unsupervised-learning health-indicators socio-economic-indicators k-means-clustering pearson-correlation elbow-method human-development-index k-medoids-clustering k-median-clustering silhouette-score calinski-harabasz-index davies-bouldin-index

Updated Nov 27, 2024
MATLAB

ramsabyrkulov / Brewing-Insights-with-Unsupervised-Learning

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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)

python t-sne unsupervised-learning hierarchical-clustering dendrogram k-medoids-clustering silhouette-score

Updated Sep 27, 2024
Jupyter Notebook

kaustubhmulay / YorkU-customer-segment-analysis

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Repository for Customer Segment Analysis using Python & Shiny App Dashboard

r shiny shiny-apps association-rules cluster-analysis shinydashboard apriori-algorithm york-university heirarchical-clustering k-medoids-clustering superstore-data-analysis algorithmic-marketing

Updated May 19, 2020
R

adnanhakim / ml-algorithms

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

machine-learning linear-regression machine-learning-algorithms naive-bayes-algorithm machine-learning-java k-medoids-clustering

Updated May 14, 2020
Java

Nabbo-datsct / -nabo-s-files

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codes decision-tree-classifier agglomerative-clustering k-medoids-clustering without-libraries

Updated May 22, 2021
Jupyter Notebook

saif-mahmud / Data-Mining-Lab

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[CSE 4255] Introduction to Data Mining and Warehousing Lab

naive-bayes-classifier decision-trees frequent-pattern-mining apriori-algorithm k-means-clustering fp-growth-algorithm k-medoids-clustering

Updated Nov 28, 2019
TeX

bnafack / Leukemia-data-analysis

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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.

pca-analysis hierarchical-clustering k-means-clustering svd-matrix-factorisation k-medoids-clustering ordered-dissimilarity-matrix

Updated Jun 2, 2022
R

orlovskiy-artem / graph-clustering

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

clustering graphs markov-chain spectral-clustering k-medoids-clustering

Updated Jun 5, 2021
Python

Cyanjiner / CADS-Capstone

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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.

dynamic-time-warping arima-forecasting k-medoids-clustering garch-modeling

Updated Aug 30, 2022
HTML

DimFragk / Centroid-clustering-app

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

pam k-means clustering-evaluation k-medoids clustering-validation k-means-clustering kmedoids clustering-analysis calinski-harabaz-score k-medoids-clustering clustering-visualisation silhouette-score fasterpam centroid-based-clustering

Updated Nov 19, 2024
Python

deyanarajib / DM_Feature-Selection-using-k-Medoid-Algorithm-for-Categorization-of-Hadith-Translation-in-English

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Improve Text Categorization using k-Medoids Clustering Feature Selection

text-mining feature-selection hadith text-categorization k-medoids-clustering

Updated Jan 5, 2020
Python

GiatrasKon / Clustering_Algorithms_Analytical_and_Computational

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