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The twenty first century sees the tremendous advancement of computer and machine technologies that are able to produce ginormous amout of data. Current software architecture, management and analysis approaches are unable to cope with the flood of data. The challenge of understanding large and complex data includes issues such as clutter, performance, information loss and limited cognition. Medical field involves analyzing the body system which includes many different scientists and medical professionals. The datasets are a hybrid of many different medical areas databases to understand and answer the many questions of the human body. This paper explores the capability of interactive star coordinate visualization technique to identify clusters correlation between selected attributes using interactive star coordinate for multi-dimensional datasets An interactive Star coordinates is designed consists of four stages that includes Information Objects Transformation; Dimension Mapping; Interactive Features design and Coloring. Finally the performance of the interactive star coordinates is compared to histograms of the data of interest. Interactive star coordinate is found as a promising method of visualizing information clusters pattern which provides one of the means for fast decision making.

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