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Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
Quantum Walks and Search Algorithms (Quantum Science and Technology)
Quantum Walks and Search Algorithms (Quantum Science and Technology)

This book addresses an interesting area of quantum computation called quantum walks, which play an important role in building quantum algorithms, in particular search algorithms. Quantum walks are the quantum analogue of classical random walks.

It is known that quantum computers have great power for searching unsorted databases....

Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders
Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders

Open Source Computer Vision Library (OpenCV, http://opencv.org/) started as an Intel research initiative around 1999. Now, it is the most popular open source software library for computer vision and machine learning. In the beginning, it was a set of C library functions for image processing and computer vision. Now, it has C++, Python, Java,...

Introduction to Clustering Large and High-Dimensional Data
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...
Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)
Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection...

An Introduction to Partial Differential Equations
An Introduction to Partial Differential Equations
"This is an introductory book on the subject of partial differential equations which is suitable for a large variety of basic courses on this topic. In particular, it can be used as a textbook or self-study book for large classes of readers with interests in mathematics, engineering, and related fields. Its usefulness stems from its clarity,...
Handbook of Discrete and Computational Geometry, Second Edition (Discrete Mathematics and Its Applications)
Handbook of Discrete and Computational Geometry, Second Edition (Discrete Mathematics and Its Applications)

While high-quality books and journals in this field continue to proliferate, none has yet come close to matching the Handbook of Discrete and Computational Geometry, which in its first edition, quickly became the definitive reference work in its field. But with the rapid growth of the discipline and the many advances made over the past seven...

Robust Systems Theory and Applications (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Robust Systems Theory and Applications (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
A complete, up-to-date textbook on an increasingly important subject

Robust Systems Theory and Applications covers both the techniques used in linear robust control analysis/synthesis and in robust (control-oriented) identification. The main analysis and design methods are complemented by elaborated examples and a group of worked-out...

Curves and Surfaces (UNITEXT)
Curves and Surfaces (UNITEXT)

The book provides an introduction to Differential Geometry of Curves and Surfaces. The theory of curves starts with a discussion of possible definitions of the concept of curve, proving in particular the classification of 1-dimensional manifolds. We then

...
3D Computer Vision: Efficient Methods and Applications (X.media.publishing)
3D Computer Vision: Efficient Methods and Applications (X.media.publishing)

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and...

Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics)
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics)

The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough treatment of multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. The book includes a thorough introduction; a comprehensive survey to spatial...

The Elements of Continuum Biomechanics
The Elements of Continuum Biomechanics

An appealing and engaging introduction to Continuum Mechanics in Biosciences

This book presents the elements of Continuum Mechanics to people interested in applications to biological systems. It is divided into two parts, the first of which introduces the basic concepts within a strictly one-dimensional spatial context. This policy...

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