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Cluster Analysis of Features Associated with Unidentified Anomalous Phenomena Described in 216 Select Reports from 1947-2016
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.
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Evolving Paradigms in the Search for Advanced Extraterrestrial Intelligence
Our nascent search for advanced extraterrestrial life is driven by humanity’s
anthropocentric tendencies. These tendencies much change to a more open-
minded, multi-faceted, and scientifically rigorous approach to one of humanity's
most profound questions: Are we alone in the universe? This question is
addressed from both a deductive and inductive perspective. Science’s approach to
this question is changing, new paradigms will be needed, and an answer to this
question m
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UAP Indications Analysis 1945-1975 Military and Public Activities
This paper provides an assessment of indicators associated with UAP reports, described initially as Unidentified Flying Objects (UFOs) and contemporarily as Unidentified Anomalous Phenomena (UAP), included in the Scientific Coalition for UAP Studies (SCU) Activity Pattern Study.
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The New Science of Unidentified Aerospace-Undersea Phenomena (UAP)
Our objective is to clarify the existing global and historical scientific narrative around UAP.
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