A Proposition of Interactive Visual Clustering System

The problem of computing the distance is first transformed to a quadratic eigenvalue problem with even structure and then further reduced to a linear matrix problem to which a

Our main contribution is a new stretch-driven chartifi- cation method which clusters based on a spectral analysis of the matrix of geodesic distances and allows the user to

Then a clustering technique is applied to partition the voxels in up to three spatial zones of homogeneous chemical content (Figure 2). This content is then a vector of the

We propose gCubik+i as a new interactive platform that naturally interfaces a 3D display with a tabletop display. A virtual 3D aquarium application that showcases its interac-

Figure 1: News Auditor: The user explores a news story cluster by identifying interesting patterns in the similarity matrix Overview (a); The Structural View (b) provides a

The core idea is to find relevant clustering results using a two-round clustering approach guided by examples which domain experts can provide via visual queries.. Our work is based

Our approach builds on a simple model of human machine dialogue for interactive data analysis which we then propose to instantiate as visual analytics workflows – representations

In this paper, we propose a knowledge-assisted visual analysis approach that allows physicians to analyze breast lesions based on the classification results of a fuzzy inference