164 search results - page 3 / 33 » HD-Eye - Visual Clustering of High dimensional Data |
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
DIS
2006
Springer
13 years 9 months ago
2006
Springer
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
SIAMSC
2008
13 years 5 months ago
2008
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
APWEB
2006
Springer
13 years 9 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
ICDE
2009
IEEE
14 years 7 days ago
2009
IEEE
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...