18. The system of claim 14 , wherein the at least one processor is further configured to execute the computer-executable instructions to: receive a test dataset comprising test container data corresponding to multiple containers of test digital content; select a set of one or more candidate content properties; select a candidate distance function; execute, using the candidate distance function and the set of one or more candidate content properties, a first iteration of the clustering algorithm on the test container data to obtain a set of clusters associated with the test digital content, each cluster in the set of clusters comprising a respective one or more of the multiple containers of the test digital content; and determine a cluster purity score of a first cluster in the set of clusters, the first cluster purity score indicating a percentage of containers in the first cluster that are associated with a semantic classifier.
18. The system of claim 14 , wherein the at least one processor is further configured to execute the computer-executable instructions to: receive a test dataset comprising test container data corresponding to multiple containers of test digital content; select a set of one or more candidate content properties; select a candidate distance function; execute, using the candidate distance function and the set of one or more candidate content properties, a first iteration of the clustering algorithm on the test container data to obtain a set of clusters associated with the test digital content, each cluster in the set of clusters comprising a respective one or more of the multiple containers of the test digital content; and determine a cluster purity score of a first cluster in the set of clusters, the first cluster purity score indicating a percentage of containers in the first cluster that are associated with a semantic classifier. 19. The system of claim 18 , wherein the at least one processor is further configured to execute the computer-executable instructions to: determine that the cluster purity score is greater than a respective cluster purity score associated with each other cluster in the set of clusters; determine that the cluster purity score is less than a threshold value; and determine the second set of one or more content properties by excluding, from the second set of one or more content properties, at least one content property from the set of one or more candidate content properties and including, in the second set of one or more content properties, at least one content property absent from the set of one or more candidate content properties.