This paper addresses the problem of change-point detection in sequences high-dimensional and heterogeneous observations, which also possess a periodic temporal structure. Due to dimensionality problem, when time between change points is order dimension model parameters, drifts underlying distribution can be misidentified as changes. To overcome this limitation, we assume that observations lie l...