A new algorithm of segmentation of multispectral videodata using cluster analysis has been proposed. A problem of recognition of transient fragments of videodata is solved to eliminate in the first stage "mixed" pixels from the tutorial algorithm thereby increasing the quality of recognition of the selected classes. An example of recognition of cloud fields in images recorded with the AVHRR of a NOAA satellite demonstrates algorithmic implementation.