1013 search results - page 22 / 203 » Comparisons Between Data Clustering Algorithms |
ACIVS
2006
Springer
14 years 1 months ago
2006
Springer
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
PRL
2006
13 years 7 months ago
2006
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
PAKDD
2001
ACM
14 years 2 days ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
ISPASS
2006
IEEE
14 years 1 months ago
2006
IEEE
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
KDD
2005
ACM
14 years 8 months ago
2005
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...