DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Select Data Explore Transform Classify Unsupervised Text Mining Evaluation and Deployment Issues Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Descriptive and Predictive Analytics Issues Evaluating Models Cluster Analysis Algorithms Bagging Bayes Classifier Cluster Analysis Conditional Trees Hierarchical Clustering K-Nearest Neighbours Linear Models Neural Networks Support Vector Machines Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

GGobi Option

GGobi provides quite sophisticated visualisation tools as an adjunct to Rattle basic visualisations provided. To use the GGobi option the GGobi application will need to be installed on your system. GGobi runs under GNU/Linux, OS/X, and MS/Windows and is available for download from http://www.ggobi.org/.

GGobi is very powerful indeed, and here we only cover the basic functionality. With GGobi we are able to explore high-dimensional data through highly dynamic and interactive graphics such as tours, scatterplots, barcharts and parallel coordinates plots. The plots are interactive and linked with brushing and identification. The available functionality is extensive, but includes being able to review entities with low or high values on particular variables and to view values for other variables through brushing in linked plots. Panning and zooming is supported. Data can be rotated in 3D, and we can tour high dimensional data through 1D, 2D, and 2x1D projections, with manual and automatic control of projection pursuits.

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