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InData Science CollectivebyKuriko IwaiThe EM Algorithm and Gaussian Mixture Models for Advanced Data ClusteringA deep dive into the core concepts of unsupervised clustering with practical application on customer data segmentation4d agoA response icon2
InGoPenAIbyFrancesco FrancoDBSCAN clustering with Python and Scikit-learnThere are many algorithms for clustering available today. DBSCAN, or density-based spatial clustering of applications with noise, is one of…Mar 17A response icon5
InTowards AIbyKaitai DongClassics Never Fade Away: Decipher Gaussian Mixture Model and Its Variants!This blog dives deep into the Gaussian Mixture Model (GMM) and demonstrates why it’s more superior than K-means for clustering tasks.Mar 9A response icon1
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InThe Electronic Handbook of Data SciencebyDr. A. Schelle - The Handbook's EditorCustomer Segmentation through RFM and Clustering: A Data Mining ApproachThis repository implements customer segmentation using classical data‐mining methods. Based on the readme and code structure, it follows a…1d ago
Parker CarrusUnsupervised ML in Algorithmic TradingA K-Means-Based Trading Strategy That Achieved 1.32 Sharpe and 32% CAGRJun 12A response icon6
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