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» Limits of Spectral Clustering
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DAGM
2011
Springer
14 years 4 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
USENIX
2008
15 years 6 months ago
A Multi-Site Virtual Cluster System for Wide Area Networks
A virtual cluster is a promising technology for reducing management costs and improving capacity utilization in datacenters and computer centers. However, recent cluster virtualiz...
Takahiro Hirofuchi, Takeshi Yokoi, Tadashi Ebara, ...
TMA
2010
Springer
199views Management» more  TMA 2010»
15 years 11 months ago
Mixing Biases: Structural Changes in the AS Topology Evolution
In this paper we study the structural evolution of the AS topology as inferred from two different datasets over a period of seven years. We use a variety of topological metrics to...
Hamed Haddadi, Damien Fay, Steve Uhlig, Andrew W. ...
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
15 years 8 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
ICPR
2008
IEEE
15 years 11 months ago
Graph drawing using quantum commute time
In this paper, we explore experimentally the use of the commute time of the continuous-time quantum walk for graph drawing. For the classical random walk, the commute time has bee...
David Emms, Edwin R. Hancock, Richard C. Wilson