1971 search results - page 102 / 395 » A clustering method that uses lossy aggregation of data |
BMCBI
2007
13 years 8 months ago
2007
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
PRIB
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
DKE
2008
13 years 8 months ago
2008
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
NIPS
2008
13 years 9 months ago
2008
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
IJCNN
2000
IEEE
14 years 8 days ago
2000
IEEE
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...