164 search results - page 16 / 33 » HD-Eye - Visual Clustering of High dimensional Data |
SIGMOD
2000
ACM
14 years 17 hour ago
2000
ACM
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
APBC
2004
13 years 9 months ago
2004
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
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...
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...