Interactive tools for pattern discovery
Tin Kam Ho · 2004
Real-world pattern recognition problems contain rich context that must be taken into account in solution develop-ment. Beyond the core classification tasks, there are several common challenges including the need to correlate non-comparable groups of variables while preserving data prox-imity relationships within each group, visualization of data geometry, rapid trial of many methodological alternatives, and integration with existing infrastructure. We explore the effective methods and tools to meet with these challenges. We describe a graphical software, Mirage, as an experiment to address such concerns. 1.