Skip to content
Joerg Blumtritt edited this page Jun 29, 2020 · 7 revisions

Machine Learning

Unsupervised Learning: Pattern recognision, dimension reduction, cluster analysis

  • "Distance metrics": Euclidean, p-metric (Hölder metric), neigborhood functions in grids, cosine distance, ...
  • Voronoi Diagram
  • k-means cluster analysis
  • Hierarchical cluster
  • Self Organizing Maps (Kohonen Maps)

Supervised Learning: Regression, prediction

  • Linear regression
  • Discriminant analysis
  • kNN (k-Nearest-Neighbors)
  • Perceptron
  • Multilayer perceptron (Neural Network ... next lecture)

Genetic Algorithms

Course Info and Materials

Home
Additional Information
Guidelines
Bibliography
Material

Assignments

Weekly scheduled assignments and talks

Contact and other Info

Teaching

Overview of my academic teaching

Social Media

LinkedIn
Twitter

Blogs, Homepages

Slow Media
mediagnosis.de

Clone this wiki locally