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A Deterministic Annealing Approach to Clustering AIRS DataWe will examine the validity of means and standard deviations as a basis for climate data products. We will explore the conditions under which these two simple statistics are inadequate summaries of the underlying empirical probability distributions by contrasting them with a nonparametric, method called Deterministic Annealing technique
Document ID
20120018100
Acquisition Source
Jet Propulsion Laboratory
Document Type
Presentation
External Source(s)
Authors
Guillaume, Alexandre
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Braverman, Amy
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Ruzmaikin, Alexander
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 25, 2013
Publication Date
April 24, 2012
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: AIRS Science Team Meeting
Location: Pasadena, CA
Country: United States
Start Date: April 24, 2012
End Date: April 26, 2012
Distribution Limits
Public
Copyright
Other
Keywords
clustering
non-parametric density estimation
Atmospheric Infrared Sounder (AIRS)

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