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Heterogeneous networks have become an important model to represent complex network. However, many existing community detection methods for dynamic network are hardly applied in heterogeneous networks. In this paper, we present a multi-view learning based algorithm for dynamic heterogeneous networks, which treats network individually, combines heterogeneous information and improves the quality. Compared...
In computer games, high-quality pathfinding algorithms are important to bring satisfactory experiences to the players, which may improve the playability of computer game. The method of KM-A∗ belongs to hierarchical pathfinding, which incorporates the information of obstacle distribution when partitioning game maps using K-means clustering. This algorithm reduced unnecessary storage and unnatural paths...
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