1. A method of classifying a domain name, comprising: identifying a set of character-based n-grams corresponding to a domain name string, the domain name string being associated with a domain name; determining a domain name vector point in a multidimensional space, wherein each dimension in the multidimensional space corresponds to each character-based n-gram in the set of character-based n-grams; comparing the domain name vector point in the multidimensional space with a plurality of vector points located in the multidimensional space to determine distances between the domain name vector point and the plurality of vector points in the multidimensional space, wherein each of the plurality of vector points corresponds to each of a plurality of domain names classified in a first domain name classification, the multidimensional space including a plurality of domain name classifications that each include a corresponding one or more vector points; determining whether the domain name is correlated to the plurality of domain names based on the distances between the domain name vector point and the plurality of vector points in the multidimensional space; and classifying the domain name in the first domain name classification if it is determined that the plurality of vector points and the domain name vector point are correlated.
1. A method of classifying a domain name, comprising: identifying a set of character-based n-grams corresponding to a domain name string, the domain name string being associated with a domain name; determining a domain name vector point in a multidimensional space, wherein each dimension in the multidimensional space corresponds to each character-based n-gram in the set of character-based n-grams; comparing the domain name vector point in the multidimensional space with a plurality of vector points located in the multidimensional space to determine distances between the domain name vector point and the plurality of vector points in the multidimensional space, wherein each of the plurality of vector points corresponds to each of a plurality of domain names classified in a first domain name classification, the multidimensional space including a plurality of domain name classifications that each include a corresponding one or more vector points; determining whether the domain name is correlated to the plurality of domain names based on the distances between the domain name vector point and the plurality of vector points in the multidimensional space; and classifying the domain name in the first domain name classification if it is determined that the plurality of vector points and the domain name vector point are correlated. 5. The method of claim 1 , further comprising receiving the domain name string as input for classification.