↓ Skip to main content

Unsupervised Learning Algorithms

Overview of attention for book
Cover of 'Unsupervised Learning Algorithms'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Anomaly Detection for Data with Spatial Attributes
  3. Altmetric Badge
    Chapter 2 Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm
  4. Altmetric Badge
    Chapter 3 Genetic Algorithms for Subset Selection in Model-Based Clustering
  5. Altmetric Badge
    Chapter 4 Clustering Evaluation in High-Dimensional Data
  6. Altmetric Badge
    Chapter 5 Combinatorial Optimization Approaches for Data Clustering
  7. Altmetric Badge
    Chapter 6 Kernel Spectral Clustering and Applications
  8. Altmetric Badge
    Chapter 7 Uni- and Multi-Dimensional Clustering Via Bayesian Networks
  9. Altmetric Badge
    Chapter 8 A Radial Basis Function Neural Network Training Mechanism for Pattern Classification Tasks
  10. Altmetric Badge
    Chapter 9 A Survey of Constrained Clustering
  11. Altmetric Badge
    Chapter 10 An Overview of the Use of Clustering for Data Privacy
  12. Altmetric Badge
    Chapter 11 Nonlinear Clustering: Methods and Applications
  13. Altmetric Badge
    Chapter 12 Swarm Intelligence-Based Clustering Algorithms: A Survey
  14. Altmetric Badge
    Chapter 13 Extending Kmeans-Type Algorithms by Integrating Intra-cluster Compactness and Inter-cluster Separation
  15. Altmetric Badge
    Chapter 14 A Fuzzy-Soft Competitive Learning Approach for Grayscale Image Compression
  16. Altmetric Badge
    Chapter 15 Unsupervised Learning in Genome Informatics
  17. Altmetric Badge
    Chapter 16 The Application of LSA to the Evaluation of Questionnaire Responses
  18. Altmetric Badge
    Chapter 17 Mining Evolving Patterns in Dynamic Relational Networks
  19. Altmetric Badge
    Chapter 18 Probabilistically Grounded Unsupervised Training of Neural Networks
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
120 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Unsupervised Learning Algorithms
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-24211-8
ISBNs
978-3-31-924209-5, 978-3-31-924211-8
Editors

M. Emre Celebi, Kemal Aydin

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Italy 1 <1%
Brazil 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 28%
Student > Master 22 18%
Researcher 13 11%
Student > Bachelor 12 10%
Student > Doctoral Student 8 7%
Other 19 16%
Unknown 12 10%
Readers by discipline Count As %
Computer Science 47 39%
Engineering 31 26%
Mathematics 4 3%
Agricultural and Biological Sciences 3 3%
Economics, Econometrics and Finance 3 3%
Other 14 12%
Unknown 18 15%