4 search results - page 1 / 1 » Spectral Clustering Using Multilinear SVD: Analysis, Approxi... |
NIPS
2008
13 years 6 months ago
2008
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
KAIS
2011
12 years 12 months ago
2011
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
ISAAC
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...