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K-means is a clustering algorithm which is used widely. Its clustering results heavily depend on the initial centroids. An adaptive method for disperse centroids is proposed to improve the stability and accuracy of the clustering result. The Adaptively Disperse Centroids K-means Algorithm (ADC-K-means) is implemented using MapReduce model on hadoop platform, and it is compared with the k-means of...
The application of BIM (Building Information Modeling) technology in practical engineering becomes more and more frequent. The current research on quantity calculation based on BIM discusses the cost estimation of the building projects. There are few methods that can query construction quantity during the design process which facilitates the designer to modify the relevant data at any time. In view...
Multihop communication mechanism has been widely employed in wireless sensor networks (WSNs) for its practicability and high energy efficiency. However, hot spots emerge as locations, in which nodes die quickly because of heavy relay load, leading to disruption in network service. Balancing energy consumption of nodes so as to mitigate the hot spot issue in the network is very important for prolonging...
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