388 search results - page 9 / 78 » A Lattice-Based Approach to Hierarchical Clustering |
BMCBI
2004
13 years 7 months ago
2004
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
KES
2000
Springer
13 years 11 months ago
2000
Springer
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
SIGGRAPH
1994
ACM
13 years 11 months ago
1994
ACM
We present an approach for accelerating hierarchical radiosity by clustering objects. Previous approaches constructed effective hierarchies by subdividing surfaces, but could not ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
CIS
2005
Springer
14 years 1 months ago
2005
Springer
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...