[PDF] Nearest Neighbor Search - eBooks Review

Nearest Neighbor Search


Nearest Neighbor Search
DOWNLOAD

Download Nearest Neighbor Search PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nearest Neighbor Search book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Nearest Neighbor Search


Nearest Neighbor Search
DOWNLOAD
Author : Apostolos N. Papadopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 2005

Nearest Neighbor Search written by Apostolos N. Papadopoulos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


Explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data. This book discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and results in spatial databases and parallel processing research.



Lectures On The Nearest Neighbor Method


Lectures On The Nearest Neighbor Method
DOWNLOAD
Author : Gérard Biau
language : en
Publisher: Springer
Release Date : 2015-12-08

Lectures On The Nearest Neighbor Method written by Gérard Biau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Mathematics categories.


This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).



Proceedings Of The International Congress Of Mathematicians 2018 Icm 2018 In 4 Volumes


Proceedings Of The International Congress Of Mathematicians 2018 Icm 2018 In 4 Volumes
DOWNLOAD
Author : Boyan Sirakov
language : en
Publisher: World Scientific
Release Date : 2019-02-27

Proceedings Of The International Congress Of Mathematicians 2018 Icm 2018 In 4 Volumes written by Boyan Sirakov and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-27 with Mathematics categories.


The Proceedings of the ICM publishes the talks, by invited speakers, at the conference organized by the International Mathematical Union every 4 years. It covers several areas of Mathematics and it includes the Fields Medal and Nevanlinna, Gauss and Leelavati Prizes and the Chern Medal laudatios.



Dimensionality Reduction With Unsupervised Nearest Neighbors


Dimensionality Reduction With Unsupervised Nearest Neighbors
DOWNLOAD
Author : Oliver Kramer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-30

Dimensionality Reduction With Unsupervised Nearest Neighbors written by Oliver Kramer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-30 with Technology & Engineering categories.


This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsupervised nearest neighbors (UNN) is introduced as efficient iterative method for dimensionality reduction. Various UNN models are developed step by step, reaching from a simple iterative strategy for discrete latent spaces to a stochastic kernel-based algorithm for learning submanifolds with independent parameterizations. Extensions that allow the embedding of incomplete and noisy patterns are introduced. Various optimization approaches are compared, from evolutionary to swarm-based heuristics. Experimental comparisons to related methodologies taking into account artificial test data sets and also real-world data demonstrate the behavior of UNN in practical scenarios. The book contains numerous color figures to illustrate the introduced concepts and to highlight the experimental results.



Nearest Neighbor Methods In Learning And Vision


Nearest Neighbor Methods In Learning And Vision
DOWNLOAD
Author : Gregory Shakhnarovich
language : en
Publisher:
Release Date : 2005

Nearest Neighbor Methods In Learning And Vision written by Gregory Shakhnarovich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


This text presents theoretical and practical discussions of nearest neighbour (NN) methods in machine learning and examines computer vision as an application domain in which the benefit of these advanced methods is often dramatic.



Similarity Search


Similarity Search
DOWNLOAD
Author : Pavel Zezula
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-07

Similarity Search written by Pavel Zezula and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-07 with Computers categories.


The area of similarity searching is a very hot topic for both research and c- mercial applications. Current data processing applications use data with c- siderably less structure and much less precise queries than traditional database systems. Examples are multimedia data like images or videos that offer query by example search, product catalogs that provide users with preference based search, scientific data records from observations or experimental analyses such as biochemical and medical data, or XML documents that come from hetero- neous data sources on the Web or in intranets and thus does not exhibit a global schema. Such data can neither be ordered in a canonical manner nor meani- fully searched by precise database queries that would return exact matches. This novel situation is what has given rise to similarity searching, also - ferred to as content based or similarity retrieval. The most general approach to similarity search, still allowing construction of index structures, is modeled in metric space. In this book. Prof. Zezula and his co authors provide the first monograph on this topic, describing its theoretical background as well as the practical search tools of this innovative technology.



Data Mining In Agriculture


Data Mining In Agriculture
DOWNLOAD
Author : Antonio Mucherino
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-22

Data Mining In Agriculture written by Antonio Mucherino and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-22 with Mathematics categories.


Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.



Nearest Neighbor Search


Nearest Neighbor Search
DOWNLOAD
Author : Apostolos N. Papadopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-22

Nearest Neighbor Search written by Apostolos N. Papadopoulos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-22 with Computers categories.


Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.



Data Algorithms


Data Algorithms
DOWNLOAD
Author : Mahmoud Parsian
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-07-13

Data Algorithms written by Mahmoud Parsian and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-13 with Computers categories.


If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)



Explaining The Success Of Nearest Neighbor Methods In Prediction


Explaining The Success Of Nearest Neighbor Methods In Prediction
DOWNLOAD
Author : George H. Chen
language : en
Publisher: Foundations and Trends (R) in Machine Learning
Release Date : 2018-05-30

Explaining The Success Of Nearest Neighbor Methods In Prediction written by George H. Chen and has been published by Foundations and Trends (R) in Machine Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with categories.


Explains the success of Nearest Neighbor Methods in Prediction, both in theory and in practice.