The invention discloses a high dimensional data pattern classification method, device and system. The method comprises the steps that a master node reads high dimensional data to be classified, the high dimensional data is a three-dimensional array, a data set corresponding to any row and column combination serves as a target, each target is a Bands dimensional column vector, and Bands is the number of layers of the three-dimensional array; the master node reads a training sample set marked with a classification type and distributes storage space into slave nodes, the three-dimensional data and the training sample set are copied to the corresponding storage space so that the slave nodes can start several threads, and each thread conducts pattern classification calculation on the targets for which the thread is responsible through the training sample set; the master node copies classification results, calculated by the slave nodes, of all the targets to itself. The master node is responsible for process control, the slave nodes are responsible for parallel processing of pattern classification calculation of the high dimensional data, and therefore calculation efficiency is improved.