Visu Map

Visu Map is a visualization centric analysis software to help people to understand high dimensional
data (multivariate data). With a collection of clustering and mapping services for large data tables
VisuMap enables people to quickly spot patterns and relationships within complex data.

Data mapping methods supported in Visu Map:

• Relational Perspective Map (RPM)
• Multidimensional Scaling (Sammon Map)
• Curvilinear Component Analysis (CCA)
• Principal Component Analysis (PCA)
• MDS by SMACOF Algorithm
• Correspondence Analysis

Clustering methods supported in Visu Map:

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

Free evaluation download available.