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A Music Player with a Clustering based Recommendation Engine utilizing Spotify API
кластеризация клиентов на основе их покупательской способности
Clustering a low-level event log of a process involves creating groups of related events based on their commonalities. In this case, the centrality score of a process's graph can be used to determine the similarity between events and to guide the clustering process.
The goal of this project is to compare different clustering algorithms, executed on the MNIST dataset.
Sklearn, K-means Clustering, Hierarchical Clustering, DBSCAN, Mean Shift Clustering, Gaussian Mixture Models (GMM), Spectral Clustering, Affinity Propagation, OPTICS (Ordering Points to Identify the Clustering Structure), Birch (Balanced Iterative Reducing and Clustering using Hierarchies), marketing_campaign
[Data Analysis] Project in 2022 - Selection of additional areas for elementry care facilities, Used 8 Clustering methods