Trajectory prediction is the core technology of next generation air traffic system, flight data mining can offer great favor to implement of trajectory prediction. In this paper, a trajectory prediction method based o...
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In many clustering problems there are multiple data sources which are available. Although each one could individually be used for clustering, exploiting information from all data sources together can be relevant to fi...
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ISBN:
(纸本)9782875870278
In many clustering problems there are multiple data sources which are available. Although each one could individually be used for clustering, exploiting information from all data sources together can be relevant to find a clustering that is more accurate. Here a new model is proposed for clustering when two data sources are available. This model is called Binary View Kernel Spectral clustering (BVKSC) and is based on a constrained optimization formulation typical to Least Squares Support Vector Machines (LS-SVM). The model includes a coupling term, where the weights of the two different data sources are coupled in the primal model. This coupling term makes it possible to exploit the additional information from each other data source. Experimental comparisons with a number of similar methods show that using two data sources can improve the clustering results and that the proposed method is competitive in performance to other state-of-the-art methods.
Energy conservation is the major issue of concern for MANETs [1], [2] as terminals are battery operated. We propose an algorithm called selective prioritized clustering (SPC), to reduce power consumption at network le...
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Identifying the natural clusters of nodes in a graph and treating them as supernodes or metanodes for a higher level graph (or an abstract graph) is a technique used for the reduction of visual complexity of graphs wi...
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In this paper, we present a Hierarchical Fuzzy clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of w...
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Identifying flight trajectory patterns is a vital task that helps controllers better understand the flight operation mechanism, so as to effectively recognize flight anomalies and manage traffic flow, etc. However, fl...
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In this paper we introduce a new strategy for summarizing a fast changing data stream. Evolving data streams are generated by non stationary processes which require to adapt the knowledge discovery process to the new ...
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The traditional modeling methods are hard to identify the nonlinear system like in-well environment simulation system which is multivariable, stochastic, strong coupling and large time delay. Thus, it is difficult to ...
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This paper researches the advantages and shortcomings of Fuzzy C-Means (FCM) algorithm which applied to transformer fault diagnosis firstly, then combine the FCM algorithm with the chaos immune evolutionary algorithm ...
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Priority queue is one of the fundamental data structures utilized in various areas of informatics such as graph theory, discrete-event simulation, and operating systems. Also, it finds an application in algorithms suc...
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