Abstract: A method of exchanging coins that maximizes benefits to a host/operator of an implementing machine (10) and minimizes or eliminates any transaction charges to users of the machine (10) by providing users an establishment-specific or otherwise dedicated cash-substitute or other non-cash option in return for the coins. Possible exchange options include dispensing a disposable first type of cash-substitute device (40a,40b); storing a credit on a re-usable second type of cash-substitute device (44); making a charitable donation; and crediting an account. Because the establishment own or rents and operates the machine (10), exchanged coins can be used to replenish cash drawers or to replenish its coin dispensers or dispensing machines used, for example, at or by checkstands or self-checkout stands or self-service checkout systems, and because the exchange options are primarily establishment-specific, sales increase.

Abstract: A method of classifying high-dimensional data to facilitate subsequent processing of the data. Generally characterized, the method includes determining a statistical distribution function for a first dataset; determining a statistical distribution function for a second dataset; identifying a characterizing feature of the first and second datasets; determining a probability of distinction based on the first and second statistical distribution functions, with the probability of distinction being the probability that the characterizing feature can be used to distinguish the first dataset from the second dataset; and identifying a subject of the first dataset based on the probability of distinction. Once the subject has been identified, the first dataset can be further analyzed using processing techniques appropriate to the subject.