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Pattern Recognition and Machine Learning (Information Science and Statistics)
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The Elements of Statistical Learning
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Google's PageRank and Beyond: The Science of Search Engine Rankings
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Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
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Semi-Supervised Learning (Adaptive Computation and Machine Learning)
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Convex Optimization
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Statistical Computing with R (Computer Science and Data Analysis)
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Introduction to Clustering Large and High-Dimensional Data
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Text Mining: Predictive Methods for Analyzing Unstructured Information
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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
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The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
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Cluster Analysis for Researchers
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Mining the Web: Discovering Knowledge from Hypertext Data
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Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
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Text Mining Application Programming (Programming Series)
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Multi-Sensor Data Fusion: An Introduction
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Matrix Algebra: Exercises and Solutions
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A Guide to MATLAB Object-Oriented Programming
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Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
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Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)
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Finding Groups in Data: An Introduction to Cluster Analysis
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