USING PROJECTIONS TO VISUALLY CLUSTER HIGH-DIMENSIONAL DATA

摘要

The High-Dimensional Eye system proves that a tight integration of advanced clustering algorithms and state-of-the-art visualization techniques can help us better understand and effectively guide the clustering process, and thus significantly improve the clustering results. The difficult task of sifting through the data generated by the extensive use of computers today―and locating concise and interpretable information within that data―is called knowledge discovery in databases (KDD). Data mining refers to one specific step in the KDD process―namely, to the application of algorithms that can extract hidden patterns from data (see the "KDD Process" sidebar for more information).