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» Clustering by pattern similarity in large data sets
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GECCO
2006
Springer
128views Optimization» more  GECCO 2006»
15 years 10 months ago
FTXI: fault tolerance XCS in integer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Hong-Wei Chen, Ying-Ping Chen
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 8 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
FSKD
2005
Springer
95views Fuzzy Logic» more  FSKD 2005»
16 years 2 days ago
The Fuzzy Mega-cluster: Robustifying FCM by Scaling Down Memberships
A new robust clustering scheme based on fuzzy c-means is proposed and the concept of a fuzzy mega-cluster is introduced in this paper. The fuzzy mega-cluster is conceptually simila...
Amit Banerjee, Rajesh N. Davé
ICIP
2003
IEEE
16 years 8 months ago
Generalized pattern matching using orbit decomposition
Image Processing and Computer Vision applications often require finding a particular pattern in a set of images. The task involves finding appearances of a given pattern in an ima...
Yacov Hel-Or, Hagit Hel-Or
ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
15 years 11 months ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo