This data is correct as of December 2015 - for more up to date information, please visit https://opensyllabus.org/
So far, Altmetric has seen
this research output assigned in 1 syllabus from an institution on Open Syllabus Project.
Principal Manifolds for Data Visualization and Dimension Reduction
Overview of attention for book
Table of Contents
-
Altmetric BadgeBook Overview
-
Altmetric BadgeChapter 1 Developments and Applications of Nonlinear Principal Component Analysis – a Review
-
Altmetric BadgeChapter 2 Nonlinear Principal Component Analysis: Neural Network Models and Applications
-
Altmetric BadgeChapter 3 Learning Nonlinear Principal Manifolds by Self-Organising Maps
-
Altmetric BadgeChapter 4 Elastic Maps and Nets for Approximating Principal Manifolds and Their Application to Microarray Data Visualization
-
Altmetric BadgeChapter 5 Topology-Preserving Mappings for Data Visualisation
-
Altmetric BadgeChapter 6 The Iterative Extraction Approach to Clustering
-
Altmetric BadgeChapter 7 Representing Complex Data Using Localized Principal Components with Application to Astronomical Data
-
Altmetric BadgeChapter 8 Auto-Associative Models, Nonlinear Principal Component Analysis, Manifolds and Projection Pursuit
-
Altmetric BadgeChapter 9 Beyond The Concept of Manifolds: Principal Trees, Metro Maps, and Elastic Cubic Complexes
-
Altmetric BadgeChapter 10 Diffusion Maps - a Probabilistic Interpretation for Spectral Embedding and Clustering Algorithms
-
Altmetric BadgeChapter 11 On Bounds for Diffusion, Discrepancy and Fill Distance Metrics
-
Altmetric BadgeChapter 12 Geometric Optimization Methods for the Analysis of Gene Expression Data
-
Altmetric BadgeChapter 13 Dimensionality Reduction and Microarray Data
-
Altmetric BadgeChapter 14 PCA and K-Means Decipher Genome
Altmetric Badge
Readers on
- mendeley
- 193 Mendeley