15 search results - page 1 / 3 » Adaptive k-Nearest-Neighbor Classification Using a Dynamic N... |
ADBIS
2007
Springer
13 years 8 months ago
2007
Springer
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
SIGMOD
1998
ACM
13 years 8 months ago
1998
ACM
For an increasing number of modern database applications, efficient support of similarity search becomes an important task. Along with the complexity of the objects such as images...
BMCBI
2006
2006
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
13 years 4 months ago
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
PAMI
2008
13 years 4 months ago
2008
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
SADM
2010
12 years 11 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...