Unsupervised and Semi-Supervised Learning

Richard Jiang and Others
Series • 16 Books • Engineering
Clustering Methods for Big Data Analytics Clustering Methods for Big Data Analytics
Olfa Nasraoui & Chiheb-Eddine Ben N'Cir
Natural Computing for Unsupervised Learning Natural Computing for Unsupervised Learning
Xiangtao Li & Ka-Chun Wong
Linking and Mining Heterogeneous and Multi-view Data Linking and Mining Heterogeneous and Multi-view Data
Deepak P & Anna Jurek-Loughrey
Mixture Models and Applications Mixture Models and Applications
Nizar Bouguila & Wentao Fan
Unsupervised Feature Extraction Applied to Bioinformatics Unsupervised Feature Extraction Applied to Bioinformatics
Y-h. Taguchi
Supervised and Unsupervised Learning for Data Science Supervised and Unsupervised Learning for Data Science
Michael W. Berry, Azlinah Mohamed & Bee Wah Yap
Sampling Techniques for Supervised or Unsupervised Tasks Sampling Techniques for Supervised or Unsupervised Tasks
Frédéric Ros & Serge Guillaume
Deep Biometrics Deep Biometrics
Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng & Christophe Rosenberger
Partitional Clustering via Nonsmooth Optimization Partitional Clustering via Nonsmooth Optimization
Adil M. Bagirov, Napsu Karmitsa & Sona Taheri
Hidden Markov Models and Applications Hidden Markov Models and Applications
Nizar Bouguila, Wentao Fan & Manar Amayri