Exploratory Data Analysis Exploratory data analysis, parts of which can be called unsupervised learning or data mining, consists of tools for helping human analysts gain qualitative insights from data. fastlab Big Ideas People Stuff Fast Mean Shift with Accurate and Stable Convergence Ping Wang, Dongryeol Lee, Alexander Gray, and James Rehg Artificial Intelligence and Statistics (AISTATS) 2007 A fast and stable algorithm for mean shift clustering and tracking. [pdf] Abstract: Mean shift is a powerful but computationally expensive method for nonparametric clustering and optimization. It iteratively moves each data point to its local mean until convergence. We introduce a fast algorithm for computing mean shift based on the dual-tree. Unlike previous speed-up attempts, our algorithm maintains a relative error bound at each iteration, resulting in significantly more stable and accurate convergence. We demonstrate the benefit of our method in clustering experiments with real and synthetic data. @Inproceedings{wang2007ms, Author = "Ping Wang and Dongryeol Lee and Alexander G. Gray and James Rehg", Title = "{Fast Mean Shift with Accurate and Stable Convergence}", Booktitle = "Proceedings of the Eleventh Workshop on Artificial Intelligence and Statistics", Year = "2007" } Isee elsewhere Visualization of High-dimensional Data Dimension reduction methods can be used to project high-dimensional data down to 2-d or 3-d plots. [see webpage here] Iin progress A Data Visualization System We are building a system for visualizing and visually performing machine learning on datasets.