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2answers
134 views

Cluster analysis on ordinal data (Likert scale)

I want to do clustering of my data in R, using kmeans or hclust (I am a new R user). My data is ordinal, Likert scale, to measure the causes of cost escalation. I have 41 causes "variables" that ...
5
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1answer
163 views

Cluster clickstream data

I've recently entered the realm of machine learning and a project I am working on requires me to cluster users based on the order they visited webpages on a website. I have data in the form of: ...
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1answer
391 views

What are the primary differences between Taxometric analyses (e.g., MAXCOV, MAXEIG) and Latent Class analyses?

Recent research has attempted to determine if certain psychological constructs are latently dimensional or taxonic (i.e., including taxons or classes). For example, researchers may be interested in ...
3
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1answer
417 views

How to convert molecular categorical variables to dummy variables for cluster analysis?

I would like to use a clustering method, e.g. 'mclust', in R to classify each individual in my dataset to k groups. I have 7 continuous and 3 categorical variables. These and other hierarchical ...
2
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1answer
272 views

Looking for a hierarchical-clustering method for multiple data types

I would like to find a hierarchical-clustering method useful to assign a group membership into k groups for all individuals in my dataset. I have considered several classic ordination methods, PCA, ...
4
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1answer
288 views

Suggestions for multi-dimensional clustering

I am working in a genomics project and I ended up having a huge table with around 800 measurements (cases/rows), around 200 channels (columns/continuous variables) and 5 categories (one categorical ...
4
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1answer
431 views

Are real and imaginary components of frequency element of fft correlated?

I want to use model-based clustering to classify 1,225 time series (24 periods each). I have decomposed these time series using the fast Fourier transform and selected the harmonics that explain at ...
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1answer
177 views

How to speed up clustering analysis in R?

I am conducting a simulation study, which involves several clustering methods such as model-based clustering method (MBCM). However, there is a big problem I find that MBCM runs so slowly (might be ...
3
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1answer
603 views

Robust cluster method for mixed data in R

I'm looking to cluster a small data set (64 observations of 4 interval variables and a single three-factor categorical variable). Now, I'm quite new to cluster analysis, but I am aware that there has ...