4 search results - page 1 / 1 » Hierarchical Clustering of Massive, High Dimensional Data Se... |
SIAMSC
2008
13 years 4 months ago
2008
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
ICPP
2000
IEEE
13 years 9 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
ACST
2006
13 years 6 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...