While clustering is one of the most popular methods for data mining, analysts lack adequate tools for quick, iterative clustering analysis, which is essential for hypothesis generation and data reasoning. We introduce Clustrophile, an interactive tool for iteratively computing discrete and continuous data clusters, rapidly exploring different choices of clustering parameters, and reasoning abou...

A method for optimizing MR imaging pulse sequence parameters in a statistical framework is presented. Parameters are defined to be optimal when the resulting scalar images yield optimal image segmentations using Bayesian pixel classification. Thus, Bayes risk is used as the objective function to minimize. Approximations are made to give a tractable solution in a four-step procedure. A sample ca...

Many classification algorithms suffer from a lack of human interpretability. Using such classifiers to solve real world problems often requires blind faith in the given model. In this paper we present a novel approach to classification that takes into account interpretability and visualization of the results. We attempt to efficiently discover the most relevant snapshot of the data, in the form...

The paper addresses the possibility to replace cluttered multi-group scatter-plots with augmented convex hull plots. By replacing scatter-plot points with convex hulls, space is gained for visualization of descriptive statistics with error bars or confidence ellipses within the convex hulls. An informative addition to the plot is calculation of the area of convex hull divided by corresponding g...

Evaluation of clustering partitions is a crucial step in data processing. A multitude of measures exists, which unfortunately give for one data set various results. In this paper we present a visualization technique to visualize single clusters of high-dimensional data. Our method maps single clusters to the plane trying to preserve membership degrees that describe a data point’s gradual member...

Here we present SurvClusVis, an application based on R shiny used to visualize survival data based on tSNE. We first find an appropriate low dimensional representation of the original data using tSNE, which is then clustered using K-means, cluster membership per observation from original data is used to construct survival probabilities by cluster and cluster memberships can be further explored ...

The Arabidopsis Co-expression Tool, ACT, ranks the genes across a large microarray dataset according to how closely their expression follows the expression of a query gene. A database stores pre-calculated co-expression results for approximately 21,800 genes based on data from over 300 arrays. These results can be corroborated by calculation of co-expression results for user-defined sub-sets of...

We propose differential holography as a method to overcome the long-standing forward-scattering problem in photoelectron holography and related techniques for the three-dimensional imaging of atoms. Atomic images reconstructed from experimental and theoretical Cu 3p holograms from Cu(001) demonstrate that this method suppresses strong forward-scattering effects so as to yield more accurate thre...

Mailing address: Marcelo Luiz Campos Vieira • Rua Cardoso de Melo, 463/21 04548-002 São Paulo, SP Brazil E-mail: [email protected] Manuscript received January 09, 2007; revised manuscript received January 01, 2007; accepted March 13, 2007. The use of three-dimensional echocardiography for the analysis of cardiac structures allows the viewing of planes that make the anatomic identification m...