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Titlebook: Algorithmic Aspects in Information and Management; 13th International C Ding-Zhu Du,Lian Li,Jialin Zhang Conference proceedings 2019 Spring

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The Seeding Algorithm for Spherical ,-Means Clustering with Penalties,a collection of given data with unit length into . sets so as to minimize the within-cluster sum of cosine dissimilarity. In this paper, we introduce the spherical .-means clustering with penalties and give a .-approximate algorithm, where . is the ratio of the maximal and the minimal penalty values
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Approximation Algorithm for the Correlation Clustering Problem with Non-uniform Hard Constrained Cltering problem. In this problem, we are given a positive integer . for each vertex ., and require . for any cluster .. We provide a (2, 4)-bicriteria approximation algorithm for this problem. Namely, the solution returned by the algorithm has the cost that is at most 4 times the optimum, and for eac
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Approximation Algorithms for the Minimum Power Partial Cover Problem,, each sensor can adjust its power, the covering range of a sensor . with power .(.) is a disk centered at . which has radius .(.) satisfying .. Given an integer ., the MinPowerPartCov problem is to determine the power assignment on each sensor such that at least . points are covered and the total p
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0302-9743 retical computer science and their applications. Special considerations are given to algorithmic research that is motivated by real-world applications. .978-3-030-27194-7978-3-030-27195-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Introduction to Dense Optical Flowertain. We show that, the .-gathering problem can be solved in . and . time when the customers and the facilities are on a line, and the customer locations are given by piecewise uniform functions of at most . pieces and “well-separated” uniform distribution functions, respectively.
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