16. A computer implemented method performed by a computing device including at least one processor and a memory, the method comprising: receiving, by at least the processor, a query data point q for classification, wherein the query data point q represents attributes of a user that accessed a website over a network using a remote computing device; accessing, by at least the processor, a set of arbiter points A to perform classification of the query data point q; accessing, by at least the processor, a first set of classified data points belonging to a first known classification and a second set of classified data points belonging to a second known classification, wherein the first set of classified data points is based upon first responses to a first type of content by users associated with the first known classification, wherein the second set of classified data points is based upon second responses to the first type of content by users associated with the second known classification; determining, by at least the processor, a set of respective first class-aggregated similarity metrics for the query data point q and the first set based, at least in part, on tripoint arbitration coefficients for data point pairs that include the query data point q and a classified data point x c in the first set of the first known classification, as calculated using corresponding arbiter points in the set of arbiter points A, wherein a tripoint arbitration coefficient is calculated based at least in part on a first distance between the query data point q and the classified data point x c , a second distance between the query data point q and an arbiter point, and a third distance between the classified data point x c and the arbiter point; aggregating, by at least the processor, the set of first class-aggregated similarity metrics to determine a first arbiter-class-aggregated similarity metric of how similar the query data point q is to the first known classification; determining, by at least the processor, a set of respective second class-aggregated similarity metrics for the query data point q and the second set from the second known classification based, at least in part, on tripoint arbitration coefficients for data point pairs that include the query data point q and an unclassified data point in the second set, as calculated using corresponding arbiter points in the set of arbiter points A; aggregating, by at least the processor, the set of second class-aggregated similarity metrics to determine a second arbiter-class-aggregated similarity metric of how similar the query data point q is to the second known classification; classifying, by at least the processor, the user based on at least the query data point q as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses based on a comparison of the first arbiter-class-aggregated similarity metric to the second arbiter-class-aggregated similarity metric of the query data point q; selecting, by at least the processor, content from a set of content based on whether the user is classified as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses, wherein the selected content is for rendering by the website; and transmitting, by at least the processor, the selected content over the network to the remote computing device to render through the website on a display of the remote computing device.
16. A computer implemented method performed by a computing device including at least one processor and a memory, the method comprising: receiving, by at least the processor, a query data point q for classification, wherein the query data point q represents attributes of a user that accessed a website over a network using a remote computing device; accessing, by at least the processor, a set of arbiter points A to perform classification of the query data point q; accessing, by at least the processor, a first set of classified data points belonging to a first known classification and a second set of classified data points belonging to a second known classification, wherein the first set of classified data points is based upon first responses to a first type of content by users associated with the first known classification, wherein the second set of classified data points is based upon second responses to the first type of content by users associated with the second known classification; determining, by at least the processor, a set of respective first class-aggregated similarity metrics for the query data point q and the first set based, at least in part, on tripoint arbitration coefficients for data point pairs that include the query data point q and a classified data point x c in the first set of the first known classification, as calculated using corresponding arbiter points in the set of arbiter points A, wherein a tripoint arbitration coefficient is calculated based at least in part on a first distance between the query data point q and the classified data point x c , a second distance between the query data point q and an arbiter point, and a third distance between the classified data point x c and the arbiter point; aggregating, by at least the processor, the set of first class-aggregated similarity metrics to determine a first arbiter-class-aggregated similarity metric of how similar the query data point q is to the first known classification; determining, by at least the processor, a set of respective second class-aggregated similarity metrics for the query data point q and the second set from the second known classification based, at least in part, on tripoint arbitration coefficients for data point pairs that include the query data point q and an unclassified data point in the second set, as calculated using corresponding arbiter points in the set of arbiter points A; aggregating, by at least the processor, the set of second class-aggregated similarity metrics to determine a second arbiter-class-aggregated similarity metric of how similar the query data point q is to the second known classification; classifying, by at least the processor, the user based on at least the query data point q as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses based on a comparison of the first arbiter-class-aggregated similarity metric to the second arbiter-class-aggregated similarity metric of the query data point q; selecting, by at least the processor, content from a set of content based on whether the user is classified as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses, wherein the selected content is for rendering by the website; and transmitting, by at least the processor, the selected content over the network to the remote computing device to render through the website on a display of the remote computing device. 17. The method of claim 16 , wherein the method comprises classifying, by at least the processor, the query data point q as belonging to the class associated with the set having a greater arbiter-class-aggregated similarity metric.