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### 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 ...
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### Clustering variables of mixed types in R [duplicate]

I need to analyse questionnaire survey data with mixed data types (nominal, ordinal, continuous). I want to cluster the variables. So far I only have dead ends. I know I can use daisy in the cluster ...
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### Clustering on a data set with mixed variables [duplicate]

I have a data set consisting of $n$ elements with $d$ features for each element ($x_{i,f}$ means the value for the f-th feature of the i-th element). I would like to cluster this data set into $k$ ...
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### How to deal with categorical variables in a clustering problem? [duplicate]

I have a dataset with the following variables (among ohter variables) that represents custome card transactions and I'm trying to cluster the clusters using k-means. ...
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### Where to cut a dendrogram?

Hierarchical clustering can be represented by a dendrogram. Cutting a dendrogram at a certain level gives a set of clusters. Cutting at another level gives another set of clusters. How would you pick ...
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### 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 ...
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### What stop-criteria for agglomerative hierarchical clustering are used in practice?

I have found extensive literature proposing all sorts of criteria (e.g. Glenn et al. 1985(pdf) and Jung et al. 2002(pdf)). However, most of these are not that easy to implement (at least from my ...
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### How do I know my k-means clustering algorithm is suffering from the curse of dimensionality?

I believe that the title of this question says it all.
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### Convert categorical data to numerical data to compute a distance then

I want to calculate euclidean distances for a dataset I have. However, there are two attributes which are not numbers. One attribute is country(10 different countries), the other one is race(3 races). ...
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### Why is clustering data with many categorical variables so slow?

I am trying to cluster a set of 160 points using 260,000 categorical variables (each variable has three possible values). I am trying to use the k-modes algorithm from the klaR package in R. It works ...
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### Clustering numeric, categorical, and multivalue categorical data

I have data that look like this: ...
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### How to measure cluster quality with distance matrix?

When performing clustering with an algorithm such as K-means, it's possible to construct a plot that shows the intra cluster variability according to the number of clusters to see if there is an elbow ...
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### Is (a) multicollinearity and/or (b) binary variables an issue for DBSCAN? if so, how can one correct for these issues?

I have read some related questions, such as: Why are mixed data a problem for euclidean-based clustering algorithms?, What data structure to use for my cluster analysis or what cluster analysis to use ...