论文信息 - Visualizing the Result of Fuzzy Clustering Using GIS

Visualizing the Result of Fuzzy Clustering Using GIS

Visualizing the result of clustering is an important part of pattern recognition research. A novel method of visualizing the result of fuzzy clustering base on GIS is proposed, which doesn’t involve dimensionality reduction so that the key features are not missed. The experiment on real dataset shows its effectiveness.

[1] Ta-Te Lin,et al. Development of a virtual reality GIS using stereo vision , 2008 .

[2] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.

[3] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.

[4] Ben Shneiderman,et al. Readings in information visualization - using vision to think , 1999 .

[5] Rama Chellappa,et al. Discriminant Analysis for Recognition of Human Face Images (Invited Paper) , 1997, AVBPA.

[6] Edward R. Tufte,et al. Envisioning Information , 1990 .

[7] Ganesh S. Oak. Information Visualization Introduction , 2022 .

[8] I. Jolliffe. Principal Component Analysis , 2002 .

[9] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .

[10] Iftikhar U. Sikder,et al. Knowledge-based spatial decision support systems: An assessment of environmental adaptability of crops , 2009, Expert Syst. Appl..

[11] Haim Levkowitz,et al. From Visual Data Exploration to Visual Data Mining: A Survey , 2003, IEEE Trans. Vis. Comput. Graph..