We targeted five reported UAP features described in a previous work: shape, estimated size, ability to hover, presence of electromagnetic (EM) effects, and presence of sound. The two-step clustering algorithm identified seven distinct clusters, with this model of good statistical quality (silhouette value = 0.6). Object shape was the strongest driver of clustering results although other features contributed.