62 search results - page 1 / 13 » Geometric visualization of clusters obtained from fuzzy clus... |
PR
2006
13 years 7 months ago
2006
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
SCCC
2005
IEEE
14 years 1 months ago
2005
IEEE
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
SEDE
2008
13 years 9 months ago
2008
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
WILF
2009
Springer
14 years 6 months ago
2009
Springer
This paper presents a novel method aimed to free form deformation
function approximation for purpose of image registration. The
method is currently feature-based. The algorithm i...
IJIT
2004
13 years 9 months ago
2004
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...