Linked Questions

11
votes
2answers
33k views

Clustering with categorical and numeric data [duplicate]

I frequently come across data sets that have both categorical and numeric data. I think this is just a fact of life where the data is not all in one category. I'm basically trying to find some ...
2
votes
0answers
404 views

Clustering for mixed data including string attributes [duplicate]

Suppose to have a dataset containing feature vectors representing some people. Each feature vector contains mixed type of attributes (e.g. sex, age, height, hair color, favourite film, ...). For ...
0
votes
0answers
10 views

Cluster analysis in R with a mix of variable types [duplicate]

I am looking to do a cluster analysis in R with variables of mixed types (continuous, categorical). In the past I Have used SPSS's two-step cluster analysis to do this, but I need to now use R. Is ...
182
votes
6answers
175k views

Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?

I have a dataset that has both continuous and categorical data. I am analyzing by using PCA and am wondering if it is fine to include the categorical variables as a part of the analysis. My ...
40
votes
2answers
30k 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 ...
8
votes
3answers
10k views

Two-stage clustering in R

Is it possible to do 2-stage cluster analysis in R? Can anybody provide me resource on it?
11
votes
1answer
6k views

Hierarchical clustering with categorical variables

Can categorical variables be used in hierarchical clustering? I have heard only continuous variables are used, but have seen people discussing categorical variables may / may not be used as well. ...
1
vote
1answer
4k views

Cross cluster analysis of categorical data in R [closed]

How do we perform cross cluster analysis in R. Most of my data has categorical variables {variable Marital Status (married, single, divorced); variable Education (tertiary, secondary, primary, etc.); ...
1
vote
0answers
2k views

Hierarchical clustering of categorical variables in R - alternative algorithms / tools

I am running a hierarchical clustering process in R, using daisyto compute a dissimilarity matrix and ...
0
votes
1answer
1k views

Can I use Clustering with mixed data type in R? [duplicate]

I know there is same question in cross validated. But it is somewhat different. Clustering of mixed type data with R At there Q&A, as using daisy funtion(), we can use categorical data type in ...
0
votes
0answers
305 views

Perform k-means clustering after MCA for transforming categorical variables - provide weights to variables?

I have a very dataset with many observations (> 1 million), with mainly continuous variables and three categorical variables. After searching for clustering methods for mixed data, I decided to ...