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### hclust analyse methods, R [duplicate]

I use currently the function hclust() for Dendogram in R. It looks like: res.hc <- hclust(d, method = "ward.D2" ) My special interest is to understand, what ...
646 views

### Choosing Distance function and Linkage in hierarchical clustering [duplicate]

I'm using Hierarchical Clustering Package in Mathematica to analyse the set of experimental data (each experimental point has about 10 parameters). There are a lot of options for Distance function and ...
16 views

### Intuition-building examples to help choose the right linkage method in hierarchical clustering [duplicate]

I'm currently reading An Introduction to Statistical Learning with Applications in R by Hastie & Tibshirani. In their discussion on the hierarchical clustering algorithm, they note that the notion ...
21k views

### How to select a clustering method? How to validate a cluster solution (to warrant the method choice)?

One of the biggest issue with cluster analysis is that we may happen to have to derive different conclusion when base on different clustering methods used (including different linkage methods in ...
25k views

### Hierarchical clustering with mixed type data - what distance/similarity to use?

In my dataset we have both continuous and naturally discrete variables. I want to know whether we can do hierarchical clustering using both type of variables. And if yes, what distance measure is ...
18k views

### Comparing hierarchical clustering dendrograms obtained by different distances & methods

[The initial title "Measurement of similarity for hierarchical clustering trees" was later changed by @ttnphns to better reflect the topic] I am performing a number of hierarchical cluster analyses ...
29k views

### What algorithm does ward.D in hclust() implement if it is not Ward's criterion?

The one used by option "ward.D" (equivalent to the only Ward option "ward" in R versions <= 3.0.3) does not implement Ward's (1963) clustering criterion, whereas option "ward.D2" implements ...
6k views

### With categorical data, can there be clusters without the variables being related?

When trying to explain cluster analyses, it is common for people to misunderstand the process as being related to whether the variables are correlated. One way to get people past that confusion is a ...
6k views

### Methods of initializing K-means clustering

I am interested in the current state of the art for selecting initial seeds (cluster centers) for K-means. Googling leads to two popular choices: random selection of initial seeds, and, using the ...
14k views

### What is the optimal distance function for individuals when attributes are nominal?

I do not know which distance function between individuals to use in case of nominal (unordered categorical) attributes. I was reading some textbook and they suggest Simple Matching function but some ...
11k views

### Gower's (dis)similarity index

I would like to ask a question about Gower similarity/dissimilarity index. Is it ok to use the Gower dissimilarity measure with Ward linkage clustering? I was reading that the Gower similarity index ...
2k views

### Clustering of variables: but they are mixed type, some are numeric, some are categorical

I have a dataset with 15 variables. Some variables are numeric, continuous. Other variables are boolean, dichotomous (true/false). There's also one variable categorical, nominal. ...
1k views

### Cluster analysis in R produces reversals on dendrogram

I'm attempting to perform hierarchical agglomerative cluster analysis in R. However, when I use particular clustering methods, I get reversals (upward branching) in the resulting tree, which ...