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Traditional K-means clustering algorithm easily fall into local extremum. A maximum distances product algorithm is used to optimize the initial clustering centers and a K-means clustering algorithm with simulated annealing (SA) is promoted. The proposed method uses SA to optimize the clustering pattern in clustering analysis which can achieve global optimization. A combination model based on support...
In recent years, there are a great deal of efforts on sequential pattern mining, but some challenges have not been resolved, such as large search spaces and the ineffectiveness in handling highly similar, dense and long sequences. In this paper, we mainly focus on how to design some effective search space pruning methods to accelerate the mining process. We present a novel structure, Prefix-Frequent-Items...
The polygon orientation identification and point-in-polygon query algorithm for GIS polygon is in the course of improvement. Robust algorithms are presented in this paper. By comparing the serial number of polygon's four (or three, two) extreme points, the polygon's orientation can be identified, the main computation in the new algorithm is only integers' comparison. By finding the shortest point...
The point-in-polygon test which query about whether a point lies within a polygon or not is a fundamental problem in geometry, and of importance in various applications in GIS (Geographic Information System) and other areas. In taking advantage of the basic idea of the sum of included angle algorithm, a novel improvement for the point-in-polygon test is proposed in this paper. A new concept, the half...
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