504 search results - page 54 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
CIARP
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
DASFAA
2009
IEEE
13 years 9 months ago
2009
IEEE
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
KDD
2004
ACM
14 years 9 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...