Similarity-Based Clustering: Recent Developments and Biomedical Applications

by

Write The First Customer Review

Similarity-based learning methods have a great potential as an intuitive and ?exible toolbox for mining, visualization, and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large variety of di?erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as ...

Similarity-Based Clustering: Recent Developments and Biomedical Applications 2009, Springer, Berlin, Germany

ISBN-13: 9783642018046

Trade paperback

Select