Correlation

Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy Clusters.

Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably reflects real-world clustering scenarios but significantly increases the complexity of understanding fuzzy clusters. Many studies have demonstrated that …

Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data.

A variety of human movement datasets are represented in an Origin-Destination(OD) form, such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD data, flow map always fails to discover patterns of human mobility, due …

DimScanner: A Relation-based Visual Exploration Approach Towards Data Dimension Inspection.

Exploring multi-dimensional datasets can be cumbersome if data analysts have little knowledge about the data. Various dimension relation inspection tools and dimension exploration tools have been proposed for efficient data examining and …