Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering

HP Kriegel, P Kröger, A Zimek - … on knowledge discovery from data (tkdd …, 2009 - dl.acm.org
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 …

A survey of visual analytics for public health

B Preim, K Lawonn - Computer Graphics Forum, 2020 - Wiley Online Library
We describe visual analytics solutions aiming to support public health professionals, and
thus, preventive measures. Prevention aims at advocating behaviour and policy changes …

Interactive visual clustering of large collections of trajectories

G Andrienko, N Andrienko, S Rinzivillo… - … IEEE Symposium on …, 2009 - ieeexplore.ieee.org
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 …

Visually driven analysis of movement data by progressive clustering

S Rinzivillo, D Pedreschi, M Nanni… - Information …, 2008 - journals.sagepub.com
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 …

The state‐of‐the‐art in predictive visual analytics

Y Lu, R Garcia, B Hansen, M Gleicher… - Computer Graphics …, 2017 - Wiley Online Library
Predictive analytics embraces an extensive range of techniques including statistical
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

A Tatu, F Maaß, I Färber, E Bertini… - … IEEE Conference on …, 2012 - ieeexplore.ieee.org
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 …

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 …

LDSScanner: Exploratory analysis of low-dimensional structures in high-dimensional datasets

J Xia, F Ye, W Chen, Y Wang, W Chen… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
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 …

Visual analytics for concept exploration in subspaces of patient groups: making sense of complex datasets with the doctor-in-the-loop

M Hund, D Böhm, W Sturm, M Sedlmair, T Schreck… - Brain Informatics, 2016 - Springer
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 …

Furby: fuzzy force-directed bicluster visualization

M Streit, S Gratzl, M Gillhofer, A Mayr, A Mitterecker… - BMC …, 2014 - Springer
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 …