Similarity-Based Clustering Recent Developments and Biomedical Applications /

This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular ch...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Biehl, Michael (Επιμελητής έκδοσης), Hammer, Barbara (Επιμελητής έκδοσης), Verleysen, Michel (Επιμελητής έκδοσης), Villmann, Thomas (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Σειρά:Lecture Notes in Computer Science, 5400
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • I: Dynamics of Similarity-Based Clustering
  • Statistical Mechanics of On-line Learning
  • Some Theoretical Aspects of the Neural Gas Vector Quantizer
  • Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings
  • II: Information Representation
  • Advances in Feature Selection with Mutual Information
  • Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data
  • Median Topographic Maps for Biomedical Data Sets
  • Visualization of Structured Data via Generative Probabilistic Modeling
  • III: Particular Challenges in Applications
  • Learning Highly Structured Manifolds: Harnessing the Power of SOMs
  • Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images
  • HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods.