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Topic: "hirearchical-clustering"

ceenaa/ga_clustering_car_insurance

Hybrid method for combinig genetic alghorithm to centroid based clustering methods.

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

raviatkumar/Netflix-Movies-and-TV-Shows-Clustering

Based on a user's preferred movie or TV show, Unsupervised Machine Learning-Netflix Recommender suggests Netflix movies and TV shows. These suggestions are based on a K-Means Clustering model. These algorithms base their recommendations on details about movies and tv shows, such as their genres and description.

Language: Jupyter Notebook - Size: 8.11 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

MahdiNouraie/Advanced-Football-Analytics

This repository contains the supporting code and data for the paper: "Advanced Football Analytics: Predicting Player Features through Hierarchical Clustering and Representative Selection".

Language: R - Size: 3.87 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

alikashlan10/Heart-disease-clustering

statistical inference project with the task of clustering

Language: R - Size: 10.7 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

singh-pawan/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-

About Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

Language: Jupyter Notebook - Size: 4.37 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Wolverine-Shiva/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-

Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0