8776 search results - page 69 / 1756 » Robust Data Clustering |
ECML
2006
Springer
14 years 12 days ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
AIRS
2006
Springer
14 years 14 days ago
2006
Springer
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
ACIVS
2008
Springer
14 years 3 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
IJIS
2007
13 years 8 months ago
2007
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...