50 search results - page 5 / 10 » Clustering and Embedding Using Commute Times |
VLSID
2004
IEEE
14 years 10 months ago
2004
IEEE
With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction lev...
ICPP
2000
IEEE
14 years 2 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
STACS
2007
Springer
14 years 3 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
CCGRID
2009
IEEE
14 years 4 months ago
2009
IEEE
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
CGO
2004
IEEE
14 years 1 months ago
2004
IEEE
To meet the high demand for powerful embedded processors, VLIW architectures are increasingly complex (e.g., multiple clusters), and moreover, they now run increasingly sophistica...