138 search results - page 5 / 28 » Approximated Clustering of Distributed High-Dimensional Data |
BIOINFORMATICS
2006
13 years 7 months ago
2006
Summary: We present a new R package for the assessment of the reliability of clusters discovered in high dimensional DNA microarray data. The package implements methods based on r...
WIRN
2005
Springer
14 years 1 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
ESANN
2004
13 years 9 months ago
2004
Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
ACST
2006
13 years 9 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...