03-paths: Metrics for Path Preservation
In Preservation: Assessing Preservation for Dimension Reduction Algorithms
path Preservation R Documentation
Metrics for Path Preservation
Description
Utility functions for computing vectors of row-by-row means,
variances, and t-statistics.
Usage
LengthDistortion(M1, M2)
SegmentVariance(M1, M2)
Curvature(M1, M2)
SpatialSimilarity(M1, M2)
Arguments
M1
a data matrix decribing the path in the original space.
M2
a data matrix describing the (same) path after dimension reduction.
Value
Each of the four functions returns a real number representing the log
ratio of the scores betweent he two path representation.
Author(s)
Kevin R. Coombes <krc@silicovore.com>
Preservation documentation built on May 12, 2026, 3:02 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| path Preservation | R Documentation |
Metrics for Path Preservation
Description
Utility functions for computing vectors of row-by-row means, variances, and t-statistics.
Usage
LengthDistortion(M1, M2)
SegmentVariance(M1, M2)
Curvature(M1, M2)
SpatialSimilarity(M1, M2)
Arguments
M1 |
a data matrix decribing the path in the original space. |
M2 |
a data matrix describing the (same) path after dimension reduction. |
Value
Each of the four functions returns a real number representing the log ratio of the scores betweent he two path representation.
Author(s)
Kevin R. Coombes <krc@silicovore.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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