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Exploring the hubness-related properties of oceanographic sensor data
Published on Nov 04, 20112770 Views
In this paper we examine how the high dimensionality of oceanographic sensor data impacts the potential use of nearest-neighbor machine learning methods. We focus on one particular consequence of the
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Chapter list
Exploring the hubness-related properties of oceanographic sensor data00:00
Presentation outline00:25
Why it matters - 100:43
Why it matters - 201:17
Related work02:05
Analysis goals02:35
Test case: Oceanographic data - 102:38
Test case: Oceanographic data - 203:15
The experimental setup04:07
Skewness, bad hubness05:11
Class to class hubness matrix, k=3, wind measurements06:05
Would the hubness-aware methods help?07:08
Wind measurements: Sensor hubness map - 107:29
Wind measurements: Sensor hubness map - 207:52
Water temperature: Sensor hubness map - 108:35
Water temperature: Sensor hubness map - 208:39
Barometric pressure: Sensor hubness map08:52
Air temperature: The bermuda triangle08:56
Conclusions09:21
Thank you for your attention09:24