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| | Introduction to Clustering Large and High-Dimensional Data"...this book may serve as a useful reference for scientists and engineers who need to understand the concepts of clustering in general and/or to focus on text mining applications. It is also appropriate for students who are attending a course in pattern recognition, data mining, or classification and are interested in learning more about... | | |
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Python Data Analysis Cookbook
Key Features
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Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
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Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
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Authored by Ivan Idris, expert in python programming and proud
... | | | | Algorithms for Sparsity-Constrained Optimization (Springer Theses)
This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use... |
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