50 search results - page 2 / 10 » Using the fractal dimension to cluster datasets |
PAKDD
2004
ACM
14 years 23 days ago
2004
ACM
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
ICCS
2005
Springer
14 years 28 days ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
CGF
2011
12 years 11 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
ICDE
2007
IEEE
14 years 8 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...