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MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
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MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation

Chandrani Kumari
Rahul Siddharthan
ArXiv (abs)PDFHTML

Papers citing "MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation"

4 / 4 papers shown
Title
A framework for benchmarking clustering algorithms
A framework for benchmarking clustering algorithms
M. Gagolewski
63
13
0
20 Sep 2022
Normalised clustering accuracy: An asymmetric external cluster validity measure
Normalised clustering accuracy: An asymmetric external cluster validity measure
M. Gagolewski
54
2
0
07 Sep 2022
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
Zheng Li
Yue Zhao
Jia-lin Fu
SyDa
67
30
0
20 Sep 2020
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
128
1,266
0
01 Jul 2019

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