In this section we describe some of the more technical aspects of using ClustanGraphics in serious data mining applications.

These include:

• Reading large datasets, including long DNA sequences
• Analysing large surveys
• Clustering large datasets
• Clustering versus decision trees

If you are involved in data mining or analyzing large social surveys, remember that our k-means analysis can handle different types of variables, such as occur in survey questionnaires and database records.  You are not likely to find similar flexibility in other clustering or neural network software.