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Data Clustering with Python by Guojun Gan bridges the gap between theoretical foundations and real-world applications of clustering techniques. Covering popular algorithms like k-means, DBSCAN, and hierarchical clustering, the book provides clear explanations, mathematical insights, and Python code examples. Whether you're a student, researcher, or practitioner, this resource equips you to analyze complex datasets and uncover hidden patterns.
Data Clustering with Python by Guojun Gan bridges the gap between theoretical foundations and real-world applications of clustering techniques. Covering popular algorithms like k-means, DBSCAN, and hierarchical clustering, the book provides clear explanations, mathematical insights, and Python code examples. Whether you're a student, researcher, or practitioner, this resource equips you to analyze complex datasets and uncover hidden patterns.
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