1. A method for detecting spam business listing data, the method comprising: receiving, using a processor, new business data; comparing, using the processor, the new business data to a plurality of stored data clusters, each stored data cluster including a plurality of spam data records having an attribute in common, wherein different ones of the plurality of stored data clusters have different common attributes; determining, using the processor, whether the new business data is associated with one of the plurality of stored data clusters, the determining comprising: generating a cluster point record at least partially based on the new business data, the cluster point record including a plurality of fields; and representing the cluster point record on a plane having a number of dimensions, the number of dimensions corresponding to the number of fields included in the cluster point record; and if it is determined that the new business data is associated with one of the plurality of stored data clusters, classifying, using the processor, the new business data as spam business data.