Cluster Analysis for Multidimensional Data Using Visualization Technique

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Cluster analysis is one of the most important techniques used in Data mining. The major drawback, of cluster analysis is that it provides numerical feedback making it difficult for users to understand, and most of the clustering algorithms are not well suited for dealing with arbitrarily shaped data distributions of datasets. The visualization techniques have been proven to be more effective in data mining; their use is cluster analysis is still a challenge, especially in applications with huge and high dimensional datasets.

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