## Developer Guide and Reference

• 2021.6
• 04/11/2022
• 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 of  -dimensional feature vectors , the problem is to compute the following sample characteristics for each feature in the data set:
Statistic
Definition
Minimum Maximum Sum Sum of squares Means Second order raw moment Sum of squared difference from the means Variance Standard deviation Variation coefficient Computation method:
dense
The method computes the basic statistics for each feature in the data set.

## Distributed mode

The algorithm supports distributed execution in SMPD mode (only on GPU).

#### Product and Performance Information

1

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