1344 search results - page 40 / 269 » Cluster Analysis of High-Dimensional Data: A Case Study |
SCANGIS
2001
13 years 9 months ago
2001
Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algor...
PODS
2008
ACM
14 years 7 months ago
2008
ACM
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
ALMOB
2008
13 years 7 months ago
2008
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
JCB
2002
13 years 7 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...