Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more What are some examples of clustering ...

If the government is analyzing Americans’ phone records to discover and track terrorist networks — or ever plans to do so — the requisite technology would cost a lot of money, demand considerable ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

SAS, the leader in business intelligence, announces the immediate availability of enhanced interoperability between SAS's and IBM's data mining offerings. SAS and IBM are the first companies to ...

Data mining is more about process than it is about clever algorithms. When the process is not well understood, all the clever techniques and algorithms can get applied to the wrong data, in the wrong ...