Dimensionality Reduction with Unsupervised Nearest Neighbors
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, unsuperv...
Main Author: | |
---|---|
Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
Series: | Intelligent Systems Reference Library,
51 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Part I Foundations
- Part II Unsupervised Nearest Neighbors
- Part III Conclusions.