TABLE IV.

Classification precision for different feature combinations. (1× SNR) Clustering results indicate improved single-event identification for more restrictive choices of ɛ. The choice of features generally does not significantly impact precision results. Similar observations are drawn with 10× SNR and 100× SNR.

			60% data	30% data
Feature 1	Feature 2	100% data (No. clustering)	(Looser clustering)	(Tighter clustering)
Moment 1	Moment 2	0.32	0.45	0.57
Moment 1	Moment 3	0.32	0.44	0.53
Moment 1	Moment 4	0.32	0.46	0.54
Moment 1	FWHM	0.32	0.43	0.57
Moment 2	Moment 3	0.32	0.46	0.53
Moment 2	Moment 4	0.32	0.46	0.56
Moment 2	FWHM	0.32	0.43	0.55
Moment 3	Moment 4	0.32	0.44	0.53
Moment 3	FWHM	0.32	0.43	0.49
Moment 4	FWHM	0.32	0.46	0.54