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Clustering analysis is a common unsupervised anomaly detection method, and often used in Intrusion Detection System (IDS), which is an important component in the network security. The single cluster algorithm is difficult to get the great effective detection, and then a new cluster algorithm based on evidence accumulation is born. The IDS with clustering ensemble has a low false positive rate and...
Protein-protein interactions prediction is an important problem in biology. In this paper, kernel method is coupled with HKNN to develop a new method, kernel k-local hyperplanes (KHKNN), to predict Protein-protein interactions. The main idea behind KHKNN is to first map the input into a higher-dimensional feature space with some non-linear transformation, which is implicitly induced by a predefined...
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