The invention provides a satellite telemetry data clustering method based on time series special point. The satellite telemetry data clustering method comprises steps that step1, a Zscore algorithm is used for preprocessing of an original time series set X=(x1, x2...Xl); step2, an SPSegmentation segmentation expression method is used to extract all of special points of every original time series Xi to form a special point series SPSi=(xi(tp1), xi(tp2).. .xi(tpk)), which is used to replace the original series to be used as clustering input; step3, the corresponding time position supplementing and aligning processing of any two special point series SPSi and SPSj is carried out, and then the time positions of the special points of the sequences corresponding to the various elements of the two SPS on an original time axis are aligned with each other; step 4, the similarity coefficient calculation of the aligned special point series is carried out, and because the sequence aligning is carried out, most of similarity measurement calculations are usable, and finally, a PSPS_Dist similarity matrix is acquired; step 5, an agglomerative hierarchical clustering algorithm is adopted to realize time series clustering.