We describe the jMEF library: a Java library allowing one to create and manage mixture of exponential families in statistics. jMEF also allows on to learn a mixture from a given set of observations, to simplify a mixture, to provide a hierarchical representation of a given mixture, or to automatically learn the optimal number of components of the simplified mixture. Because our framework is generic, it is suitable for any mixture of exponential families including, among others, mixtures of Gaussian, Poisson, and multinomial distributions.
- Changes to previous version:
Initial Announcement on mloss.org.
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