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Classification

Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray

in Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

Published in print:
2014
Published Online:
October 2017
ISBN:
9780691151687
eISBN:
9781400848911
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691151687.003.0009
Subject:
Physics, Particle Physics / Astrophysics / Cosmology

Chapter 6 described techniques for estimating joint probability distributions from multivariate data sets and for identifying the inherent clustering within the properties of sources. This approach ... More


Multivariate Data Analysis and Classification of Images

Joachim Frank

in Three-Dimensional Electron Microscopy of Macromolecular Assemblies: Visualization of Biological Molecules in Their Native State

Published in print:
2006
Published Online:
April 2010
ISBN:
9780195182187
eISBN:
9780199893416
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195182187.003.0004
Subject:
Biology, Biochemistry / Molecular Biology

This chapter is concerned with the need for classification of images to deal with either the co-occurrence of difference view angles, conformational/compositional heterogeneity of the sample, or ... More


Three-Dimensional Reconstruction

Joachim Frank

in Three-Dimensional Electron Microscopy of Macromolecular Assemblies: Visualization of Biological Molecules in Their Native State

Published in print:
2006
Published Online:
April 2010
ISBN:
9780195182187
eISBN:
9780199893416
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195182187.003.0005
Subject:
Biology, Biochemistry / Molecular Biology

This chapter introduces mathematical principles underlying the relationship between a three-dimensional object and its projections, the projection theorem and Radon's theorem. The shape transform is ... More


Metric-Based Approaches for Semi-Supervised Regression and Classification

Schuurmans Dale, Southey Finnegan, Wilkinson Dana, and Guo Yuhong

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0023
Subject:
Computer Science, Machine Learning

This chapter discusses the explicit relationship that must be asserted between labeled and unlabeled data, which is a requirement of semi-supervised learning methods. Semi-supervised model selection ... More


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