Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
As a prolific research area in data mining, subspace clustering and related problems
induced a vast quantity of proposed solutions. However, many publications compare a new …
induced a vast quantity of proposed solutions. However, many publications compare a new …
A survey of visual analytics for public health
We describe visual analytics solutions aiming to support public health professionals, and
thus, preventive measures. Prevention aims at advocating behaviour and policy changes …
thus, preventive measures. Prevention aims at advocating behaviour and policy changes …
Interactive visual clustering of large collections of trajectories
One of the most common operations in exploration and analysis of various kinds of data is
clustering, ie discovery and interpretation of groups of objects having similar properties …
clustering, ie discovery and interpretation of groups of objects having similar properties …
Visually driven analysis of movement data by progressive clustering
The paper investigates the possibilities of using clustering techniques in visual exploration
and analysis of large numbers of trajectories, that is, sequences of time-stamped locations of …
and analysis of large numbers of trajectories, that is, sequences of time-stamped locations of …
The state‐of‐the‐art in predictive visual analytics
Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …
modeling, machine learning, and data mining and is applied in business intelligence, public …
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data
In explorative data analysis, the data under consideration often resides in a high-
dimensional (HD) data space. Currently many methods are available to analyze this type of …
dimensional (HD) data space. Currently many methods are available to analyze this type of …
Scagexplorer: Exploring scatterplots by their scagnostics
TN Dang, L Wilkinson - 2014 IEEE Pacific visualization …, 2014 - ieeexplore.ieee.org
A scatter plot displays a relation between a pair of variables. Given a set of v variables, there
are v (v-1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots …
are v (v-1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots …
LDSScanner: Exploratory analysis of low-dimensional structures in high-dimensional datasets
Many approaches for analyzing a high-dimensional dataset assume that the dataset
contains specific structures, eg, clusters in linear subspaces or non-linear manifolds. This …
contains specific structures, eg, clusters in linear subspaces or non-linear manifolds. This …
Visual analytics for concept exploration in subspaces of patient groups: making sense of complex datasets with the doctor-in-the-loop
Medical doctors and researchers in bio-medicine are increasingly confronted with complex
patient data, posing new and difficult analysis challenges. These data are often comprising …
patient data, posing new and difficult analysis challenges. These data are often comprising …
Furby: fuzzy force-directed bicluster visualization
Background Cluster analysis is widely used to discover patterns in multi-dimensional data.
Clustered heatmaps are the standard technique for visualizing one-way and two-way …
Clustered heatmaps are the standard technique for visualizing one-way and two-way …