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ISLPED
2005
ACM
68views Hardware» more  ISLPED 2005»
15 years 3 months ago
Two efficient methods to reduce power and testing time
Reducing power dissipation and testing time is accomplished by forming two clusters of don’t-care bit inside an input and a response test cube. New reordering scheme of scan lat...
Il-soo Lee, Tony Ambler
FQAS
2004
Springer
126views Database» more  FQAS 2004»
15 years 3 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
14 years 11 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
ESWA
2010
158views more  ESWA 2010»
14 years 7 months ago
Interval competitive agglomeration clustering algorithm
1 In this study, a novel robust clustering algorithm, robust interval competitive agglomeration (RICA) clustering algorithm, is proposed to overcome the problems of the outliers, t...
Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao
CLUSTER
2001
IEEE
15 years 1 months ago
A Class of Loop Self-Scheduling for Heterogeneous Clusters
Distributed Computing Systems are a viable and less expensive alternative to parallel computers. However, a serious difficulty in concurrent programming of a distributed system is...
Anthony T. Chronopoulos, Manuel Benche, Daniel Gro...