K-means clustering and SAS (software)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between K-means clustering and SAS (software)

K-means clustering vs. SAS (software)

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.

Similarities between K-means clustering and SAS (software)

K-means clustering and SAS (software) have 5 things in common (in Unionpedia): Data mining, Proprietary software, R (programming language), SPSS, Stata.

Data mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

Data mining and K-means clustering · Data mining and SAS (software) · See more »

Proprietary software

Proprietary software is non-free computer software for which the software's publisher or another person retains intellectual property rights—usually copyright of the source code, but sometimes patent rights.

K-means clustering and Proprietary software · Proprietary software and SAS (software) · See more »

R (programming language)

R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.

K-means clustering and R (programming language) · R (programming language) and SAS (software) · See more »

SPSS

SPSS Statistics is a software package used for interactive, or batched, statistical analysis.

K-means clustering and SPSS · SAS (software) and SPSS · See more »

Stata

Stata is a general-purpose statistical software package created in 1985 by StataCorp.

K-means clustering and Stata · SAS (software) and Stata · See more »

The list above answers the following questions

What K-means clustering and SAS (software) have in common
What are the similarities between K-means clustering and SAS (software)

K-means clustering and SAS (software) Comparison

K-means clustering has 112 relations, while SAS (software) has 75. As they have in common 5, the Jaccard index is 2.67% = 5 / (112 + 75).

References

This article shows the relationship between K-means clustering and SAS (software). To access each article from which the information was extracted, please visit:

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