2017 Intelligent Systems and Computer Vision (ISCV) 2017
DOI: 10.1109/isacv.2017.8054926
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Study of efficiency k-means clustering using Z-test proprieties

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“…In addition, some of the reasons we chose the language were its simplicity, readability, and scalability. After analyzing the data using Python, we chose Z-test [39]- [41] to evaluate the data. A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, some of the reasons we chose the language were its simplicity, readability, and scalability. After analyzing the data using Python, we chose Z-test [39]- [41] to evaluate the data. A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution.…”
Section: Discussionmentioning
confidence: 99%