82 search results - page 6 / 17 » A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzz... |
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
VLDB
2005
ACM
15 years 3 months ago
2005
ACM
Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as “name similar to smith” and “tele...
ICCBR
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
Abstract The segmentation performance of any clustering algorithm is very sensitive to the features in an image, which ultimately restricts their generalization capability. This li...
IAJIT
2008
14 years 9 months ago
2008
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...