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» Cluster detection algorithm in neural networks
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BMCBI
2005
253views more  BMCBI 2005»
14 years 9 months ago
The Use of Edge-Betweenness Clustering to Investigate Biological Function in Protein Interaction Networks
Background: This paper describes an automated method for finding clusters of interconnected proteins in protein interaction networks and retrieving protein annotations associated ...
Ruth Dunn, Frank Dudbridge, Christopher M. Sanders...
ISMIS
2005
Springer
15 years 3 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
INFORMATICALT
2010
145views more  INFORMATICALT 2010»
14 years 6 months ago
GSM Speech Coder Indirect Identification Algorithm
This paper presents GSM speech coder indirect identification algorithm based on sending novel identification pilot signals through the GSM speech channel. Each GSM subsystem distur...
Rajko Svecko, Bojan Kotnik, Amor Chowdhury, Zdenko...
ISNN
2004
Springer
15 years 3 months ago
Fuzzy-Kernel Learning Vector Quantization
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
PRL
1998
132views more  PRL 1998»
14 years 9 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal