In this project, five different clustring algorithms, including k-means (utilizing multiple metrics for cluster center identification), agglomerative hierarchiacal, DBSCAN, Gaussian mixture, and meanshift one a dataset that is availabe on https://www.kaggle.com/datasets/arjunbhasin2013/ccdata/data.
The metrics used for k-means are: Calinski_Harabasz, Inertia, and Silhouette Score.
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Implementation of five different clustering algorithms
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