1. A non-transitory computer-readable medium having stored thereon computer-readable instructions that when executed by a computing device cause the computing device to: randomly select a first set of observation vectors from a training dataset, wherein a number of the first set of observation vectors is a predefined sample size; compute a first optimal value of an objective function defined for a support vector data description (SVDD) model using the selected first set of observation vectors to define a first set of support vectors, wherein the first set of support vectors define a first data description for the training dataset; (a) randomly select a second set of observation vectors from the training dataset, wherein a number of the second set of observation vectors is the predefined sample size; (b) compute a second optimal value of the objective function using the selected second set of observation vectors to define a second set of support vectors, wherein the second set of support vectors define a second data description for the training dataset; (c) update the first set of support vectors to include the defined second set of support vectors; (d) compute a third optimal value of the objective function using the updated first set of support vectors to define a third set of support vectors, wherein the third set of support vectors define a third data description for the training dataset; (e) compute a value of a stop parameter; (f) determine whether or not a stop condition is satisfied by comparing the computed value to a stop criterion; (g) when the stop condition is not satisfied, define the first set of support vectors as the defined third set of support vectors; and repeat (a)-(g) until the stop condition is satisfied; and when the stop condition is satisfied, output the defined third set of support vectors; compute a threshold using the defined third set of support vectors; read an observation vector from a scoring dataset; compute a distance value using the output third set of support vectors and the read observation vector; when the computed distance value is greater than the computed threshold, output an abnormal indicator indicating that the read observation vector is abnormal relative to the output third set of support vectors; and when the computed distance value is not greater than the computed threshold, output a normal indicator indicating that the read observation vector is normal relative to the output third set of support vectors.