Downloads: 128 | Views: 296
Research Paper | Computer Science & Engineering | India | Volume 2 Issue 8, August 2013 | Popularity: 6.3 / 10
Clutter Reduction in Multi-Dimensional Visualization by Using Dimension Reduction
Harpreet Kaur, Shelza
Abstract: The volume of Big data is increasing in gigabytes day by day which are hard to make sense and difficult to analyze. The challenges of big data are capturing, storing, searching, sharing, analysis and visualization of these datasets. Big data leads to clutter in their visualization. Clutter is a crowded or disordered collection of graphical entities in information visualization. It can blur the structure of data. In this paper, we present the concept of clutter based dimension reduction. Our purpose is to reduce clutter without reducing information content or disturb data in any way. Dimension reduction is a technique that can significantly reduce the dimensions of the datasets. Dimensionality reduction is useful in visualizing data, discovering a compact representation, decreasing computational processing time and addressing the curse of dimensionality of high-dimensional spaces.
Keywords: multi-dimensional visualization, dimension reduction, visual clutter, visual structure
Edition: Volume 2 Issue 8, August 2013
Pages: 367 - 371
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 91 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 10, October 2020
Pages: 1626 - 1628Image Noise Reduction with Autoencoder using Tensor Flow
Jai Sehgal, Dr Yojna Arora
Downloads: 108
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 897 - 899Removal of PCA Based Estimated Noise in Processed Images
Neethu Mohan
Downloads: 116 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015
Pages: 1051 - 1054An Efficient Network Intrusion Based on Decision Tree Classifier & K-Mean Clustering using Dimensionality Reduction
Vandna Malviya, Anurag Jain
Downloads: 117
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 188 - 193Performance Enhancement of Dimension Reduction for Microarray Data
Shubhangi N. Katole, Swapnili P. Karmore
Downloads: 117
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016
Pages: 1049 - 1052Optimization of Huffman Encoding for Multiple Images Compression using PCDA
Khushboo Kumar Sahu, K. J. Satao