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Revisiting dimensionality reduction techniques for visual cluster analysis: An empirical study
J ** Population Indicators Through Probabilistic Analysis in Aceh Province, Indonesia
The clustering, one of statistical analysis, can be used for understanding population patterns
and as a basis for more targeted policy making. In this ecological study, we explored the …
and as a basis for more targeted policy making. In this ecological study, we explored the …
Sunspot Plots: Model‐based Structure Enhancement for Dense Scatter Plots
Scatter plots are a powerful and well‐established technique for visualizing the relationships
between two variables as a collection of discrete points. However, especially when dealing …
between two variables as a collection of discrete points. However, especially when dealing …
Human visual clustering of point arrays.
Although the importance of unsupervised learning has been recognized since William
James's “blooming, buzzing confusion,” it has received less attention in the literature than …
James's “blooming, buzzing confusion,” it has received less attention in the literature than …
HPSCAN: Human Perception‐Based Scattered Data Clustering
Cluster separation is a task typically tackled by widely used clustering techniques, such as k‐
means or DBSCAN. However, these algorithms are based on non‐perceptual metrics, and …
means or DBSCAN. However, these algorithms are based on non‐perceptual metrics, and …