845 search results - page 47 / 169 » Adaptive K-Means Clustering |
101
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PRIB
2009
Springer
15 years 6 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 6 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 6 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, ...
109
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RTSS
2006
IEEE
15 years 5 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
15 years 1 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...