Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Book 31)
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Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner
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Optimization of DBSCAN algorithm to increase accuracy of clusters
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Machine Learning for Decision Sciences with Case Studies in Python
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Data Science: Concepts and Practice
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Applied Unsupervised Learning with Python: Discover hidden patterns and relationships in unstructured data with Python
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Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
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An Improved DBSCAN Algorithm for High Dimensional Datasets: An improvement in terms of number of clusters an in general increasing the accuracy of algorithm
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An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series)
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Combining DBSCAN and Grid Based Clustering For Performance Analysis
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