| 摘要 |
Information analysing apparatus is described for clustering information elements in items of information into groups of related information elements. The apparatus has an expected probability calculator (11a), a model parameter updater (11b) and an end point determiner (19) for iteratively calculating expected probabilities using first, second and third model parameters representing probability distributions for the groups, for the elements and for the items, updating the model parameters in accordance with the calculated expected probabilities and count data representing the number of occurrences of elements in each item of information until a likelihood calculated by the end point determiner meets a given criterion. The apparatus includes a user input (5) that enables a user to input prior information relating to the relationship between at least some of the groups and at least some of the elements. At least one of the expected probability calculator (11a), the model parameter updater (11b) and the likelihood calculator is arranged to use prior data derived from the user input prior information in its calculation. In one example, the expected probability calculator uses the prior data in the calculation of the expected probabilities and in another example, the count data used by the model parameter updater and the likelihood calculator is modified in accordance with the prior data.
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