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Preserving sample's pair wise similarity is essential for feature selection. In supervised learning, labels can be used as a direct measure to check whether two samples are similar with each other. In unsupervised learning, however, such similarity information is usually unavailable. In this paper, we propose a new feature selection method through spectral clustering based on discriminative information...
Due to the great flexibility in wording and highly correlation between unknown words and unpredictable topics, which are exhibited in Chinese twitter (i.e. weibo) messages, it proposed a weibo-oriented method to detect unknown words and topics simultaneously. The method is efficient and precise, however, because of the adopted classical K-means algorithm, it cannot deal with weibo corpus with increasing...
The design and analysis of routing algorithm is an important issue in Wireless Sensor Networks (WSNs). Most traditional geographical routing algorithms cannot achieve good performance in duty-cycled networks. In this paper, we propose a k-connected overlapping clustering approach with energy awareness, namely k-OCHE, for routing in WSNs. The basic idea of this approach is to select a cluster head...
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