1. A change-point detecting apparatus for detecting a statistical change-point of data, comprising: a processor operable to configure: a first model learning section which learns an occurrence probability distribution of data as a statistical model that is defined as a mixture of a finite number of distributions containing a latent variable, and estimates a probability distribution of the statistical model, a probability distribution of the latent variable and a conditional probability distribution as a partial distribution thereof; a second model learning section which learns respective probability distributions of time series data contained in each of a plurality of distance computation results as a second statistical model that is defined by a finite number of parameters; a change-degree score computing section which computes a change degree in the respective probability distributions as a score for each of the probability distributions learned by the second model learning section; and a change-point detecting section which detects a change-point that appears in the data based on the computed change degree of each of the probability distributions, wherein each of the plurality of the distance computation results comprises a distance between the probability distributions at different times.