createSyntheticData: Create a synthetic dataset to test the clustering algorithm...

In nmlemus/uqms: Uncertainty Quantification Management System (UQMS)

Description

This function create a synthetic dataset using the approach proposed in B. Jiang, J. Pei, Y. Tao and X. Lin, "Clustering Uncertain Data Based on Probability Distribution Similarity," in IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 4, pp. 751-763, April 2013. doi: 10.1109/TKDE.2011.221

Usage

createSyntheticData(k = 11, d = 1, n = 1450, s = 1000)

Arguments

k	number of clusters to test.
d	dimension (e.g. if we have temperatute and preasure d = 2)
n	the number of objects of the data
s	the sample size

Author(s)

Noel Moreno Lemus

References

B. Jiang, J. Pei, Y. Tao and X. Lin, "Clustering Uncertain Data Based on Probability Distribution Similarity," in IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 4, pp. 751-763, April 2013. doi: 10.1109/TKDE.2011.221

Examples

dataset <- createSyntheticData(3, 2, 1000, 500)

nmlemus/uqms documentation built on May 30, 2019, 12:03 a.m.