Classification Methods

Classification Methods for Remotely Sensed Data, Second Edition

Classification Methods for Remotely Sensed Data, Second Edition by Brandt Tso
English | May 12, 2009 | ISBN: 1420090720 | 376 Pages | CHM | 8.4 MB

Multicriteria Decision Aid Classification Methods (Repost)  

Posted by Specialselection at March 23, 2012
Multicriteria Decision Aid Classification Methods (Repost)

Michael Doumpos, Constantin Zopounidis, "Multicriteria Decision Aid Classification Methods (Applied Optimization)"
English | 2002-08-31 | ISBN: 1402008058 | 263 pages | PDF | 12.3 mb
Multicriteria Decision Aid Classification Methods (Applied Optimization)

Multicriteria Decision Aid Classification Methods (Applied Optimization)
Springer | August 31, 2002 | ISBN: 1402008058 | 268 Pages | PDF | 12 MB

The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (repost)

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice by Gregory Shakhnarovich
English | (March 24, 2006) | ISBN: 026219547X | Pages: 280 | PDF | 7,18 MB

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets.

Combining Pattern Classifiers: Methods and Algorithms  eBooks & eLearning

Posted by Sonora at Nov. 16, 2006
Combining Pattern Classifiers: Methods and Algorithms

Ludmila I. Kuncheva
Combining Pattern Classifiers: Methods and Algorithms
Wiley-Interscience | ISBN: 0471210781 | 2004 | 350 pages | PDF | 2.8 MB

Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications it is destined to become essential reading.
"Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods" ed. by S. Ramakrishnan

"Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods" ed. by S. Ramakrishnan
ITexLi | 2016 | ISBN: 9535124218 9535124226 9789535124221 9789535124214 | 100 pages | PDF | 11 MB

This book is composed of chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

Learning Apache Mahout Classification [Repost]  eBooks & eLearning

Posted by tanas.olesya at April 5, 2016
Learning Apache Mahout Classification [Repost]

Learning Apache Mahout Classification by Ashish Gupta
English | 26 Feb. 2015 | ISBN: 1783554959 | 218 Pages | PDF | 10 MB

Build and personalize your own classifiers using Apache Mahout If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations (repost)

Oleg Okun, "Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations"
English | 2011 | ISBN: 1609605578 | 445 pages | PDF | 4,8 MB
Pattern Classification: Neuro-fuzzy Methods and Their Comparison

Shigeo Abe, "Pattern Classification: Neuro-fuzzy Methods and Their Comparison"
2001 | pages: 331 | ISBN: 1447110773 | PDF | 10,8 mb

Data Science and Classification by Hans-Hermann Bock [Repost]  

Posted by tanas.olesya at Dec. 1, 2014
Data Science and Classification by Hans-Hermann Bock [Repost]

Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization) by Hans-Hermann Bock
English | July 5, 2006 | ISBN: 3540344152 | 349 pages | PDF | 3 MB

Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining.