Exploratory Data Analysis with MATLABExploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger a |
Contents
Introduction to Exploratory Data Analysis | 3 |
EDA as Pattern Discovery | 29 |
Dimensionality Reduction Linear Methods | 31 |
Dimensionality Reduction Nonlinear Methods | 61 |
Data Tours | 103 |
Finding Clusters | 127 |
ModelBased Clustering | 163 |
Smoothing Scatterplots | 197 |
Multivariate Visualization | 293 |
Proximity Measures | 337 |
Software Resources for EDA | 345 |
Description of Data Sets | 351 |
Introduction to MATLAB | 357 |
MATLAB Functions | 371 |
References | 377 |
| 395 | |
Graphical Methods for EDA | 231 |
Visualizing Clusters | 233 |
Distribution Shapes | 259 |
Other editions - View all
Exploratory Data Analysis with MATLAB Wendy L. Martinez,Angel Martinez,Jeffrey Solka Limited preview - 2004 |
Common terms and phrases
algorithm Analysis with MATLAB array axes bivariate boxplot BPM data chapter class labels Cleveland columns Computational construct corresponding covariance matrices data points data set dendrogram describe diagonal dimensionality reduction discussed display dissimilarities distribution dot chart EDA Toolbox eigenvalues EM algorithm Equation estimate Euclidean distance Exploratory Data Analysis finite mixture gene expression given grand tour graphical hierarchical clustering histogram implemented interpoint distances intrinsic dimensionality ISOMAP iterations k-means leukemia linear linkage load loess mapping MATLAB code measure median model-based clustering multidimensional scaling multivariate nodes normal number of clusters observations oronsay data outliers parallel coordinates parameters partitions posterior probability probability density procedure projection pursuit q-q plot quantiles Rand index random variables ReClus rectangle plot regression residuals sample scatterplot scatterplot matrix shown in Figure smoothing Statistics Toolbox step structure techniques topic transformed treemap Tukey vector visualization weights width