845 search results - page 47 / 169 » Adaptive K-Means Clustering |
PRIB
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
RAID
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
CLUSTER
2006
IEEE
15 years 3 months ago
2006
IEEE
Clusters are the most common solutions for high performance computing at the present time. In this kind of systems, an important challenge is the I/O subsystem design. Typically, ...
RTSS
2006
IEEE
15 years 3 months ago
2006
IEEE
Recent years have seen rapid growth of online services that rely on large-scale server clusters to handle high volume of requests. Such clusters must adaptively control the CPU ut...
ACSW
2004
14 years 11 months ago
2004
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...