1. A method for creating a model for classifying a biological sample as being of a first state or a second state different than the first state, comprising: determining the location of a first set of vectors and a second set of vectors in a vector space, each vector of the first set of vectors being obtained from a data stream derived from a biological sample known to be of the first state, the second set of vectors including a plurality of vectors, each of the plurality of vectors of the second set of vectors being associated with a data stream derived from a biological sample known to be of the second state; and identifying a cluster disposed within the vector space, the cluster containing at least one of the vectors of the first set of vectors, the cluster being associated with the first state for purposes of classifying a biological sample.