766 search results - page 6 / 154 » Clustering high dimensional data using subspace and projecte... |
NN
2002
Springer
13 years 8 months ago
2002
Springer
A new neural network architecture (PART) and the resulting algorithm are proposed to
SSDBM
2006
IEEE
14 years 2 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
APBC
2004
13 years 10 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...
AUSAI
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...