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» On the Performance of Ant-based Clustering
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KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 8 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
ICCV
2011
IEEE
12 years 7 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
MSS
2007
IEEE
79views Hardware» more  MSS 2007»
14 years 2 months ago
Inter-node Communication in Peer-to-Peer Storage Clusters
Storage clusters try to transfer the idea of cluster com­ puting into the storage domain and to scale capacity and performance by simply adding new cluster components. This paper...
André Brinkmann, Sascha Effert
CLUSTER
2006
IEEE
14 years 1 months ago
Improving the Performance of Cluster Applications through I/O Proxy Architecture
Clusters are the most common solutions for high performance computing at the present time. In this kind of systems, an important challenge is the I/O subsystem design. Typically, ...
Luis Miguel Sánchez, Florin Isaila, Alejand...
CLUSTER
2008
IEEE
14 years 2 months ago
Predictive models for bandwidth sharing in high performance clusters
Abstract—Using MPI as communication interface, one or several applications may introduce complex communication behaviors over the network cluster. This effect is increased when n...
Jérôme Vienne, Maxime Martinasso, Jea...