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Hands-On Unsupervised Learning with Python

You're reading from   Hands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789348279
Length 386 pages
Edition 1st Edition
Languages
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Authors (2):
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Giuseppe Bonaccorso Giuseppe Bonaccorso
Author Profile Icon Giuseppe Bonaccorso
Giuseppe Bonaccorso
Giuseppe Bonaccorso Giuseppe Bonaccorso
Author Profile Icon Giuseppe Bonaccorso
Giuseppe Bonaccorso
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Unsupervised Learning FREE CHAPTER 2. Clustering Fundamentals 3. Advanced Clustering 4. Hierarchical Clustering in Action 5. Soft Clustering and Gaussian Mixture Models 6. Anomaly Detection 7. Dimensionality Reduction and Component Analysis 8. Unsupervised Neural Network Models 9. Generative Adversarial Networks and SOMs 10. Assessments 11. Other Books You May Enjoy

Further reading

  • Normalized Cuts and Image Segmentation, J. Shi and J. Malik, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, 08/2000
  • A Tutorial on Spectral Clustering, Von Luxburg U., 2007
  • Functions and Graphs Vol. 2, Gelfand I. M., Glagoleva E. G., Shnol E. E., The MIT Press, 1969
  • On Estimation of a Probability Density Function and Mode, Parzen E., The Annals of Mathematical Statistics, 33, 1962
  • Application of a neuro fuzzy network in prediction of absenteeism at work, Martiniano A., Ferreira R. P., Sassi R. J., Affonso C., in Information Systems and Technologies (CISTI), 7th Iberian Conference on (pp. 1-4). IEEE, 2012
  • A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, Ester M., Kriegel H. P., Sander J., Xu X., Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, OR...
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