Jeffrey W. Heath

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The use of radio frequency identification (RFID) allows utility companies to read meters from a distance. Thus a meter reader need not visit every customer on his route, but only get within a certain radius of each customer. In finding an optimal route – one that minimizes the distance the meter reader travels while servicing each customer on his route –(More)
The Expectation-Maximization (EM) algorithm is a very popular optimization tool in model-based clustering problems. However, while the algorithm is convenient to implement and numerically very stable, it only produces solutions that are locally optimal. Thus, EM may not achieve the globally optimal solution to clustering problems, which can have a large(More)
While the Expectation-Maximization (EM) algorithm is a popular and convenient tool for mixture analysis, it only produces solutions that are locally optimal, and thus may not achieve the globally optimal solution. This paper introduces a new algorithm, based on a recently introduced global optimization approach called Model Reference Adaptive Search (MRAS),(More)
The Expectation-Maximization (EM) algorithm is a popular and convenient tool for the estimation of Gaussian mixture models and its natural extension, model-based clustering. However, while the algorithm is convenient to implement and numerically very stable, it only produces solutions that are locally optimal. Thus, EM may not achieve the globally optimal(More)
Teen sexual problems in the U.S. are reaching enormous proportions. Attempts to prevent common problems, pregnancy and sexually transmitted diseases, are underway through the persistent efforts of community, health, academic and government organizations. Abstinence education is one of the current attempts. However, the lack of well defined theoretical(More)
The Expectation-Maximization (EM) algorithm is a very popular optimization tool in model-based clustering problems. However, while the algorithm is convenient to implement, it only produces solutions that are locally optimal, and thus may not achieve the globally optimal solution. This paper introduces several new algorithms designed to produce global(More)
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