Visualizing large epidemiological data sets using depth and density
نویسنده
چکیده
to the spring 2007. I want to express my sincere gratitude to Kari Kuulasmaa from International Cardiovascular Disease Epiodemiology Unit for providing me the opportunity to work in the MORGAM Project and to the personnel of the unit for offering me a good working environment and excellent guidance during this work. Especially I would like to thank my supervisors Juha Karvanen from International Cardiovascular Disease Epiodemiology Unit and Juha Puranen from Department of Mathematics and Statistics at University of Helsinki for their help and guidance throughout this work.
منابع مشابه
Exploratory graphics for functional data
We survey some graphical tools for visualizing large sets of functional data represented by smooth curves. These graphical tools include the phase-plane plot, singular value decomposition plot, rainbow plot, functional variants of the bagplot and the highest density region boxplot. The latter two techniques utilize the first two robust principal component scores, Tukey’s halfspace location dept...
متن کاملRainbow plots, bagplots and boxplots for functional data
Abstract We propose new tools for visualizing large amounts of functional data in the form of smooth curves. The proposed tools include functional versions of the bagplot and boxplot, and make use of the first two robust principal component scores, Tukey’s data depth and highest density regions. By-products of our graphical displays are outlier detection methods for functional data. We compare ...
متن کاملVisualizing High-density Clusters in Multidimensional Data
The analysis of multidimensional multivariate data has been studied in various research areas for many years. The goal of the analysis is to gain insight into the specific properties of the data by scrutinizing the distribution of the records at large and finding clusters of records that exhibit correlations among the dimensions or variables. As large data sets become ubiquitous but the screen ...
متن کاملDrawing Depth Contours with Graphics Hardware
Depth contours are a well-known technique for visualizing the distribution of multidimensional point data sets. We present an image-space algorithm for drawing the depth contours of a set of planar points. The algorithm is an improvement on existing algorithms based on the duality principle, implemented using 3D graphics rendering techniques.
متن کاملتعیین عمق اشباع در پراکندگی کامپتون با استفاده از شبکه‌های عصبی مصنوعی
Abstract: The intensity of Compton scattered γ-ray photons provide useful information about the electron density distribution of a test sample. Because of photon attenuation, the application of this method is limited to a certain depth of the sample (saturation depth). The saturation depth value depends on the energy and intensity of primary photons and on the material of the sample. In this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007