766 search results - page 18 / 154 » Clustering high dimensional data using subspace and projecte... |
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
WAIM
2005
Springer
14 years 2 months ago
2005
Springer
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
ICDE
2012
IEEE
11 years 11 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
SIGMOD
2000
ACM
14 years 1 months ago
2000
ACM
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...