234 search results - page 30 / 47 » Spectral Clustering with Perturbed Data |
ISAAC
2009
Springer
14 years 2 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
BMCBI
2007
13 years 7 months ago
2007
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
NIPS
2008
13 years 9 months ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
NIPS
2003
13 years 9 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...