Posts Tagged ‘ tree ’

Bayesian adaptive sampling

December 5, 2010
By
Bayesian adaptive sampling

In the continuation of my earlier post on computing evidence, I read a very interesting paper by Merlise Clyde, Joyee Ghosh and Michael Littman, to appear in JCGS. It is called  Bayesian adaptive sampling for variable selection and model averaging. The sound idea at the basis of the paper is that, when one is doing

Read more »

Classification Trees using the rpart function

September 21, 2010
By
Classification Trees using the rpart function

In a previous post on classification trees we considered using the tree package to fit a classification tree to data divided into known classes. In this post we will look at the alternative function rpart that is available within the base R distribution. Fast Tube by Casper A classification tree can be fitted using the rpart function

Read more »

Classification Trees

September 18, 2010
By
Classification Trees

Decision trees are applied to situation where data is divided into groups rather than investigating a numerical response and its relationship to a set of descriptor variables. There are various implementations of classification trees in R and the some commonly used functions are rpart and tree. Fast Tube by Casper To illustrate the use of the tree

Read more »

Clustergram: visualization and diagnostics for cluster analysis (R code)

June 15, 2010
By
Clustergram: visualization and diagnostics for cluster analysis (R code)

About Clustergrams In 2002, Matthias Schonlau published in “The Stata Journal” an article named “The Clustergram: A graph for visualizing hierarchical and . As explained in the abstract: In hierarchical cluster analysis dendrogram graphs are used to visualize how clusters are formed. I propose an alternative graph named “clustergram” to examine how cluster members are assigned to clusters as...

Read more »