* Cluster analysis is class of tools in which you use to group complex data into distinct clusters based on observable variation.* Cluster analysis is closely related to the idea of latent class analysis in which data is grouped into classes ...
* Cluster analysis is class of tools in which you use to group complex data into distinct clusters based on observable variation.* Cluster analysis is closely related to the idea of latent class analysis in which data is grouped into classes ...
Our 5th Cologne R user group meeting was the best attended meeting so far, with 20 members finding their way to the Institute of Sociology for two talks by Diego de Castillo on shiny and Stephan Holtmeier on cluster analysis, followed by beer and schni...
An exploration of the usefulness of sectors. Previously This subject was discussed in “S&P 500 sector strengths”. Idea Stocks are put into groups based on the sector that the company is considered to be in. Cluster analysis is a statistical technique that finds groups. If sectors really move together, then clustering should recover sectors. Will … Continue reading →
Of course, a picture on a computer monitor is a coloured plot of x and y coordinates or pixels. Still, I was smitten by David Sparks' posts on is.r(), where he shows how easy it is to read images into R to analyse them. In two posts [1], [2] he rep...
With the distance matrix found in previous tutorial, we can use various techniques of cluster analysis for relationship discovery. For example, in the data set mtcars, we can run the distance matrix with hclust, and plot a dendrogram that displays a ...
