• a collection of mapping and dimensionality reduction algorithms, like RPM (Relational Perspective Map), PCA(Principal Component Analysis), MDS (Multidimensional Scaling);
• advanced clustering algorithms for high dimensional data like self-organizing map, affinity propagation, k-mean clustering;
• many dynamically linked data views;
• extensive scripting and library interfaces for advanced applications.

• Relational Perspective Map (RPM)
• Multidimensional Scaling
  (Sammon Map)
• Curvilinear Component Analysis (CCA)
• Principal Component Analysis (PCA)
• MDS by SMACOF Algorithm
• Correspondence Analysis
• Stochastic Neighbor Embedding
  (t-SNE)
• Kernel PCA

• Self-Organizing Map (Kohonen Net)
• K-Mean Clustering
• Metric Sampling
• Agglomerative Clustering
• Affinity Propagation

• ASCII
• Relational DB & Spreadsheet
• JPEG, GIF, SVG etc. (10 image formats)

• Scripting interface for automation
• DotNet plug-in interface for extension

• 13 built-in metrics: euclidean, mahalanobis, pearson correlation, speaman ranking, wedge- hedge, etc.
• Many interactive views: bar, curve, spectrum, table,  tree, Shepard diagram, MS Offices charts, etc.
• Attribute map analysis
• Hardware accelerated 3D animation

• Pharmaceutics
• Bioinformatics
• Financial analysis
• Market analysis
• Telecommunication industry
• Internet traffic analysis
• Quality control

• Windows 2000/XP/Vista.
• Microsoft .NET 2.0 Runtime (pre-installed on Vista)
  
  
• Microsoft DirectX 9 Runtime Dec. 2005 Release or higher
  
  
• DirectX 9 compatible graphic card

VisuMap Illustration
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