6 search results - page 1 / 2 » Improving Quality of Search Results Clustering with Approxim... |
ECIR
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
BMCBI
2006
14 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
95
Voted
IIS
2003
14 years 11 months ago
2003
Abstract. In this paper we consider the problem of web search results clustering in the Polish language, supporting our analysis with results acquired from an experimental system n...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
192
Voted
ICDE
2012
IEEE
12 years 12 months ago
2012
IEEE
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...