Hierarchical Clustering

Chaitanya Sagar explains hierarchical clustering with examples in R:

Hope now you have a better understanding of clustering algorithms than what you started with. We discussed about Divisive and Agglomerative clustering techniques and four linkage methods namely, Single, Complete, Average and Ward’s method. Next, we implemented the discussed techniques in R using a numeric dataset. Note that we didn’t have any categorical variable in the dataset we used. You need to treat the categorical variables in order to incorporate them into a clustering algorithm. Lastly, we discussed a couple of plots to visualise the clusters/groups formed. Note here that we have assumed value of ‘k’ (number of clusters) is known. However, this is not always the case. There are a number of heuristics and rules-of-thumb for picking number of clusters. A given heuristic will work better on some datasets than others. It’s best to take advantage of domain knowledge to help set the number of clusters, if that’s possible. Otherwise, try a variety of heuristics, and perhaps a few different values of k.

There’s a lot to pick out of this post, but you’re able to walk through it step by step.  H/T R-Bloggers

Related Posts

The Theory Behind cdata

John Mount has a video explaining the concepts behind cdata: We also have two really nifty articles on the theory and methods: Fluid data reshaping with cdata Coordinatized Data: A Fluid Data Specification Please give it a try! Click through for the video, which I found very helpful in tying together a number of data […]

Read More

Microsoft R Open 3.4.3

David Smith announces Microsoft R Open 3.4.3: Microsoft R Open (MRO), Microsoft’s enhanced distribution of open source R, has been upgraded to version 3.4.3 and is now available for download for Windows, Mac, and Linux. This update upgrades the R language engine to the latest R (version 3.4.3) and updates the bundled packages (specifically: checkpoint, curl, doParallel, foreach, and iterators) to new versions. MRO is 100% compatible with […]

Read More

Categories

December 2017
MTWTFSS
« Nov Jan »
 123
45678910
11121314151617
18192021222324
25262728293031