285 search results - page 16 / 57 » Clustering by Similarity in an Auxiliary Space |
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
AUSAI
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...
126
Voted
DATAMINE
2006
15 years 12 days ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
97
Voted
BIBE
2004
IEEE
15 years 4 months ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
117
Voted
ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...