The current event classification algorithms are robust for identifying NBE waveforms, which, as seen in Figure 1 are the most distinctive. The currently CG identification is good, but somewhat conservative. As indicated in the introduction, only half of all LASA event waveforms are identified as either NBEs or CGs. A random selection of 1000 non-NBE/CG identified events found the following overall breakdown of events: 78% -CG, 13.5% +CG, 3.5% +NBE, 0.8% -NBE, and approximately 5% IC and/or leader events. Initially, based on the possibilty of 50% IC events, LASA could potentially provide IC event location over a large geogrpahic region. However, despite the now apparently low IC detection efficiency, the identification of IC events is of continuing interesting to gain insight into the differences between CID and other IC discharges. After we have implemented the new classification algorithms, we plan to explore the general LASA IC detection by comparing the observations with the New Mexico Tech LMA and the Kennedy LDAR systems.