VisuMap Technologies
                  See the Invisible in your Data


VisuMap Version 5.0

VisuMap helps people understand high-dimensional, complex, large or otherwise 'difficult' datasets. It enables researchers, analysts and other professionals to grasp trends and patterns by interacting with 2D and 3D maps of their data.

By integrating the latest mathematical techniques for presenting multiple dimensions of data in relation to eath other, VisuMap enables users to apply the power of their visual perception and intuition.

This harnessing of human perceptual power, together with unprecedented ease of use, means that VisuMap has succeeded where conventional data mining tools have failed. At the same time, developers and system administrators will find extensive scripting and plug-in interfaces that encourage them to customize, integrate and extend VisuMap to suit their end-users' needs.

VisuMap Product Features

Multidimesnional Scaling (data mapping):
  • Principal Component Analysis (PCA)
  • Multidimensional Scaling (Sammon Map)
  • Relational Perspective Map (RPM)
  • Curvilinear Component Analysis (CCA)
  • MDS by SMACOF Algorithm
  • Correspondence Analysis
  • Stochastic Neighbor Embedding (t-SNE)
  • Linear Discreminate Analysis (LDA)
  • Affinity Embedding
Data Clustering:
  • Self-Organizing Map (Kohonen Net)
  • K-Mean Clustering
  • Metric Sampling
  • Agglomerative Clustering
  • Affinity Propagation
  • Self-Organzing Graph
  • Spectral Clustering
  • Mean-Shift Clustering
  • Ensemble Clustering
  • k-Nearst Neighbor (k-NN) Clustering
Data Visualization & Exploration:
  • 13 built-in metrics: euclidean, mahalanobis, pearson correlation, speaman ranking, wedge- hedge, etc.
  • Dynamically linked data views: bar/curve charts, spectrum, table,  tree, Shepard diagram, atlas, dashboard, heatmap, etc..
  • Interactive parameter probing
  • Attribute map analysis
  • Hardware accelerated 3D animation

Programming Interfaces:
  • Scripting interface for automation
  • Context sensitve scriptor editor
  • DotNet plug-in interface for extension
  • Import/Export formats:  ASCII, SQL-DB,
    JPEG, GIF, SVG etc.(10 image formats).
Data Modeling/Machine Learning:
  • Deep Classification
  • Deep Profiling

System Requirements
More Information

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