Developer Guide and Reference

  • 2021.4
  • 09/27/2021
  • Public Content
Contents

Basic Statistics

Basic statistics algorithm computes the following set of quantitative dataset characteristics:
  • minimums/maximums
  • sums
  • means
  • sums of squares
  • sums of squared differences from the means
  • second order raw moments
  • variances
  • standard deviations
  • variations
Operation
Computational methods
Programming Interface

Mathematical formulation

Computing
Given a set
X
of
n
p
-dimensional feature vectors LaTex Math image., the problem is to compute the following sample characteristics for each feature in the data set:
Statistic
Definition
Minimum
LaTex Math image.
Maximum
LaTex Math image.
Sum
LaTex Math image.
Sum of squares
LaTex Math image.
Means
LaTex Math image.
Second order raw moment
LaTex Math image.
Sum of squared difference from the means
LaTex Math image.
Variance
LaTex Math image.
Standard deviation
LaTex Math image.
Variation coefficient
LaTex Math image.
Computation method:
dense
The method computes the basic statistics for each feature in the data set.

Programming Interface

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.