Cluster Analysis of Features Associated with Unidentified Anomalous Phenomena Described in 216 Select Reports from 1947-2016
7/10
significant, well-sourced
UAP Insight significance score
- Author
- Scientific Coalition of UAP Studies
- Published
- August 5, 2025
- Object type
- various UAP shapes and sizes
Research
Original excerpt
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…
Key claims
- →Analysis of 216 select UAP reports from 1947-2016
- →Five targeted features: shape, size, hovering ability, EM effects, and sound
- →Two-step clustering identified seven distinct clusters
- →Object shape was the strongest driver of clustering results
UAP Insight Analysis— AI generated, not official
A statistical analysis of 216 UAP reports from 1947–2016 identifies seven distinct clusters of reported features using two-step clustering, with object shape as the strongest driver.
Analysis by Claude · may contain errors
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