1. A method, implemented on an electronic device, for generating physical sensor data classifiers, the method comprising: receiving a plurality of physical sensor data; identifying a projection vector, comprising: using a search algorithm comprising a metric function to identify correlated data represented by a sub-matrix of the plurality of sensor data, and calculating one or more eigenvalues associated with the metric function at least in part by transforming the plurality of physical sensor data using a sparse matrix transform (SMT), wherein transforming using the SMT comprises reducing off-diagonal elements of the sub-matrix, wherein the off-diagonal elements represent a level of correlation of the correlated data; and producing physical sensor data classifiers by projecting at least a portion of the physical sensor data upon the projection vector.