Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
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Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Book 31)
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Model-Based Clustering, Classification, and Density Estimation Using mclust in R (Chapman & Hall/CRC The R Series)
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)
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Time Series Clustering and Classification (Chapman & Hall/CRC Computer Science & Data Analysis)
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Machine Learning in Aerodynamics: Clustering and Autoencoders for CFD Applications
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Clustering
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Clustering Standards in Integrated Units
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Data Clustering: Theory, Algorithms, and Applications, Second Edition
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