Multiple-Scale Visualization of Large Data Based on Hierarchical Clustering

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Provided by: International Journal of Computer and Electrical Engineering (IJCEE)
Topic: Big Data
Format: PDF
Now-a-days, the large datasets become more and more common. However, traditional visualization techniques, which although allow to visually analyze and explore data, cannot scale well with the large one. This restrains the ability of detecting, recognizing and classifying phenomena of interest, such as patterns, clusters, trends, etc. This Paper proposes a method for interactive multi-resolution visualization to overcome the problem of traditional visualization techniques when working with a large dataset via hierarchical clustering. Based on hierarchical clustering, users can not only examine the dataset at different levels of detail, but also can explore many regions of interest.
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