Fuzzy clustering algorithms and their application to medical image analysis

✍ Scribed by Shihab Ahmed Ismail.

• Tongue: English
• Leaves: 169
• Category: Library

✦ Synopsis

Department of Computing Imperial College of Science, Technology and Medicine
University of London, London SW7 2AZ.
A dissertation submitted in partial fulfilment of the requirements
for the degree of Doctor of Philosophy of the University of London.

Abstract
The general problem of data clustering is concerned with the discovery of a grouping
structure within a finite number of data points. Fuzzy Clustering algorithms provide
a fuzzy description of the discovered structure. The main advantage of this description
is that it captures the imprecision encountered when describing real-life data.
Thus, the user is provided with more information about the structure in the data compared
to a crisp, non-fuzzy scheme.

✦ Subjects

Медицинские дисциплины;Информационные технологии в медицине;Обработка изображений в медицине