Unsupervised and Semi-Supervised Learning

Alharbi / Ben Ncir / Alyoubi / Ben-Romdhane

Advances in Computational Logistics and Supply Chain Analytics

Advances in Computational Logistics and Supply Chain Analytics

Advances in Computational Logistics and Supply Chain Analytics

Fachbuch2024BuchSpringerISBN 978-3-031-50035-0

Ros / Riad

Feature and Dimensionality Reduction for Clustering with Deep Learning

Feature and Dimensionality Reduction for Clustering with Deep Learning

Feature and Dimensionality Reduction for Clustering with Deep Learning

Fachbuch2024BuchSpringerISBN 978-3-031-48742-2

Alyoubi / Ben Ncir / Alharbi / Jarboui

Machine Learning and Data Analytics for Solving Business Problems

Machine Learning and Data Analytics for Solving Business Problems

Machine Learning and Data Analytics for Solving Business Problems

Methods, Applications, and Case Studies

Methods, Applications, and Case Studies

Fachbuch2023BuchSpringerISBN 978-3-031-18485-7

Taguchi

Unsupervised Feature Extraction Applied to Bioinformatics

Unsupervised Feature Extraction Applied to Bioinformatics

Unsupervised Feature Extraction Applied to Bioinformatics

A PCA Based and TD Based Approach

A PCA Based and TD Based Approach

2nd ed. 20242024BuchSpringerISBN 978-3-031-60981-7

2nd ed. 2024

Alharbi / Ben Ncir / Alyoubi / Ben-Romdhane

Advances in Computational Logistics and Supply Chain Analytics

Advances in Computational Logistics and Supply Chain Analytics

Advances in Computational Logistics and Supply Chain Analytics

2024eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-031-50036-7

Bouguila / Fan / Amayri

Hidden Markov Models and Applications

Hidden Markov Models and Applications

Hidden Markov Models and Applications

Fachbuch2023BuchSpringerISBN 978-3-030-99144-9

Bouguila / Fan / Amayri

Hidden Markov Models and Applications

Hidden Markov Models and Applications

Hidden Markov Models and Applications

Fachbuch2022BuchSpringerISBN 978-3-030-99141-8

Ros / Riad

Feature and Dimensionality Reduction for Clustering with Deep Learning

Feature and Dimensionality Reduction for Clustering with Deep Learning

Feature and Dimensionality Reduction for Clustering with Deep Learning

2023eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-031-48743-9

Bouguila / Fan / Amayri

Hidden Markov Models and Applications

Hidden Markov Models and Applications

Hidden Markov Models and Applications

2022eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-99142-5

Alyoubi / Ben Ncir / Alharbi / Jarboui

Machine Learning and Data Analytics for Solving Business Problems

Machine Learning and Data Analytics for Solving Business Problems

Machine Learning and Data Analytics for Solving Business Problems

Methods, Applications, and Case Studies

Methods, Applications, and Case Studies

2022eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-031-18483-3

Bouguila / Fan

Mixture Models and Applications

Mixture Models and Applications

Mixture Models and Applications

2019eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-23876-6

Taguchi

Unsupervised Feature Extraction Applied to Bioinformatics

Unsupervised Feature Extraction Applied to Bioinformatics

Unsupervised Feature Extraction Applied to Bioinformatics

A PCA Based and TD Based Approach

A PCA Based and TD Based Approach

2019eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-22456-1

Berry / Mohamed / Yap

Supervised and Unsupervised Learning for Data Science

Supervised and Unsupervised Learning for Data Science

Supervised and Unsupervised Learning for Data Science

2019eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-22475-2

Ros / Guillaume

Sampling Techniques for Supervised or Unsupervised Tasks

Sampling Techniques for Supervised or Unsupervised Tasks

Sampling Techniques for Supervised or Unsupervised Tasks

2019eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-29349-9

Jiang / Li / Crookes / Meng / Rosenberger

Deep Biometrics

Deep Biometrics

Deep Biometrics

2020eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-32583-1

M. Bagirov / Karmitsa / Taheri

Partitional Clustering via Nonsmooth Optimization

Partitional Clustering via Nonsmooth Optimization

Partitional Clustering via Nonsmooth Optimization

Clustering via Optimization

Clustering via Optimization

2020eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-37826-4

P / Jurek-Loughrey

Linking and Mining Heterogeneous and Multi-view Data

Linking and Mining Heterogeneous and Multi-view Data

Linking and Mining Heterogeneous and Multi-view Data

2018eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-030-01872-6

Li / Wong

Natural Computing for Unsupervised Learning

Natural Computing for Unsupervised Learning

Natural Computing for Unsupervised Learning

2018eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-319-98566-4

Nasraoui / Ben N'Cir

Clustering Methods for Big Data Analytics

Clustering Methods for Big Data Analytics

Clustering Methods for Big Data Analytics

Techniques, Toolboxes and Applications

Techniques, Toolboxes and Applications

2018eBook (PDF mit Wasserzeichen)Springer International PublishingISBN 978-3-319-97864-2