aryddntaabbss/klasterisasi-minatbaca

Proyek ini merupakan hasil dari SKRIPSI saya yang berjudul "KLASTERISASI MINAT BACA MASYARAKAT KOTA TERNATE MENGGUNAKAN ALGORITMA HIERARCHICAL CLUSTERING (STUDI KASUS DINAS PERPUSTAKAAN DAN KEARSIPAN DAERAH KOTA TERNATE)".

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cissagatto/HPML

This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1

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ZG3Z/bts-weather-clustering

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RikoAppDev/agglomerative-clustering

AI - Project 3 - This project implements Aglomerative Clustering to cluster all generated points in 2D space using: Centroid & Medoid

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AhmedYousriSobhi/customer_segmentation

GitHub repo for customer data analysis to drive personalized marketing strategies and enhance engagement, loyalty, and revenue

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RohitG57/Travel-Review-Segmentation

This data set contains ratings from Google reviews. Reviews on attractions from 24 categories across Europe are considered. Using this data clustering model is built.

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DhanaShravya/Wine-clustering-and-classification-using-ML

Wine Classification using Machine learning algorithms

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Yassaadi/e_commerce

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shreyansh-2003/Clustering-Analysis-KMeans-vs-Agglomerative-Clustering-for-Large-Datasets

This repo explores KMeans and Agglomerative Clustering effectiveness in simplifying large datasets for ML. Goals include dataset download, finding optimal clusters via Elbow and Silhouette methods, comparing clustering techniques, validating optimal clusters, tuning hyperparameters. Detailed explanations and analysis are provided.

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darian-catalin-cucer/android-sdui

Server-driven UI refers to a design pattern in which the user interface is primarily controlled and rendered by a server, with the client serving as a display and interaction layer. This approach allows for a separation of concerns between the presentation and business logic, and can simplify client-side development.

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RRJahin/SQLIFIX

This is a learning based code refactoring model

Language: Java - Size: 30.1 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

Pradyothsp/Customer_Segmentation_Clustering

This project aims to use k-means and Agglomerative clustering to segment customers into different groups based on their characteristics and purchasing habits. The goal is to understand the similarities and differences between the customer segments, which can help inform marketing strategies and target specific groups of customers.

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