Questions tagged [model-based-clustering]

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Clustering Highly Skewed and Segmented Data

So I am trying to cluster a dataset that looks like the following: I have tried K-Means and GMM, which give me horrible results. I have tried DBSCAN, which was okay, but it is difficult to choose the ...
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18 views

Best value to use as component cutoff using mclust in R?

I am working with a dataset of volumes that I have classified into components using the mclust package in R. (univariate, unequal variance). I am now looking for the best way to determine cutoff ...
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27 views

Can clustering with Gaussian mixture models be done based on cosine similarity?

Apologies if this has already been answered; I found some similar posts (here and here) but don't feel they answered the specific question I have. Please feel free to correct any misunderstandings in ...
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10 views

GEEGLM binomial modelling with Probit or logit

I am fitting a GEE model in R (multivariate binomial) There are no repeated measures and assume there is a within cluster correlation. If I use a probit link, do I have to exponentiate the output ...
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29 views

Mclust 5.0: Scale dependent? Multiple data types

Have been working in Mplus for quite a long time with clustering and mixture analyses and have recently had occasion to consider using Mclust in a collaborative project. However, it is not clear to me ...
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2answers
274 views

What is the interpretation of the weights in the GMM?

GMM is $p(x|\theta) = w_1 \mathcal{N}(x|\mu_1,\,\sigma_1^{2})\ + w_2 \mathcal{N}(x|\mu_2,\,\sigma_2^{2}) + w_3 \mathcal{N}(x|\mu_3,\,\sigma_3^{2})\,$ What is the interpretation of the weights here? Do ...
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18 views

Adding Bootstrapped Parameters for Mclust Model-based Clustering

I have a data set that I have been working to cluster using model-based clustering with the package mclust. The clustering is one-dimensional (based on only one value per point), but each data point ...
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2answers
31 views

Looking for clues on a possible method or approach for clustering particle data in the form of pulse shapes

I'm a biologist by origin, and I'm asking this question to the math community to learn from the vast knowledge that I don't posses myself but is out there in the math field. Edit: This question was ...
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1answer
27 views

Clustering Algorithm for for Different types of dimension

I want to cluster radar data but using its position (x,y) and its radial velocity. As position parameters have same units (meter) but radial velocity is in m/s. Which algorithm can be used for such ...
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15 views

Multi variable clustering cartographical data

Firstly , my knowledge in statistics is very limited , so excuse me if I'm ask a none well placed question. I have a country ,( example : USA ) , and i have 3 set of data 1) position (lat , lng ) ...
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38 views

Multivariate mixture models

I am new to mixture modeling and have successfully used bernoulli mixture models to cluster datasets of binary data. My real purpose, though is to cluster datasets with mixed data types: normal, ...
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145 views

Clustering of temperature and precipitation courses. Searching for approach

I would like to cluster not only single observations, but I would like to cluster all observations for temperature together as a temperature course. So the goal is to cluster the temperature courses. ...
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1answer
90 views

How to explore high dimensional data to inform a choice of clustering method?

I want to cluster users of a web app based on their engagement, my data looks approximately like: id | count of action 1 | count of action 2 | ... | count of action n I have 40 different counts and ...
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115 views

In cluster analysis, how to determine if a variable has impact on the clustering process?

I am using model-based clustering to split a sample into 4 clusters, and would like to know if gender is a determining factor for the clustering of this sample. My attempt was to compute the in-...
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21 views

Community Detection for Complete Weighted Network [duplicate]

I am wondering if someone who has experience in trying to perform community detection algorithm with complete graph with weighted network. As weighted networks represents the similarity of each node ...
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1answer
373 views

Mclust: Data frame order affects solution

I've come across some behavior in mclust::Mclust that I would not have expected, which is that the order of variables in the data passed to ...
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1answer
232 views

Multiple correspondence analysis for clustering (unsupervised learning) [closed]

I have limited stat/coding knowledge yet I try to do user clustering using unsupervised method using R. I have about 2795 observations gained from survey (mixture of categorical and scale questions). ...
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115 views

Mixture probabilistic model on mixed data

When dealing with homogeneous types of data, we can employ mixtures of gaussians (for continous) or some kind of k-proptotyping (ordinal-nominal). I am investigating around the statistical/machine ...
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1answer
1k views

Fit indices using MCLUST latent cluster analysis

I conducted latent class/cluster analysis in R using the package MCLUST. I have a revise and resubmit for my paper, and the reviewer suggested making a table of the fit indices for the cluster ...
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1answer
58 views

Merging the results of soft-clustering algorithm

The established soft-clustering algorithms like Fuzzy-k-means (Wikipedia), Gustafson-Kessel, Gath-Geva for point wise data or the funclust algorithm in functional data context are random-operating ...
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1answer
319 views

Clustering unrelated (with no correlation) data

The objective of clustering analysis is to group data with similar characteristics in clusters, but in this case, I want to find the most unrelated data to group into clusters. In my particular case, ...
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1answer
7k views

Mclust model selection

The R package mclust uses BIC as a criteria for cluster model selection. From my understanding, a model with the lowest BIC should be selected over other models (if ...
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2answers
1k views

Problem in a cluster analysis of User behavior

Data set that extracted from Log file, the simplest way to represent it is by use User- Page view matrix which represent each user how many time visit corresponding page as attached in sample image, ...
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1answer
56 views

How to differentiate two distinct linear populations with clustering in R

I am new to clustering. My apology if this has been asked before. I'd like to differentiate two distinct linear populations within sample matrix, and tag them differently. Apparently k-means couldn'...
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39 views

Stability of clusters/mixtures from GMMs

Some background I have a data set with around 2000 samples and 16 features. Me and my colleague are trying out different methods for clustering and currently we are converging to the usage of a ...
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1answer
392 views

Best Clustering Technique for Probability Scores

I have a data which which have 17 variables i.e. 17-Dimension data. The Data is a result of Max-Diff exercise which is performed for ranking these 17 attributes and have comparative preference/...
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3answers
1k views

Clustering of distributions in R

I have a set of distributions corresponding to predictions for how each of hundreds of players will perform. I am looking to identify the distinct distributions of players. In other words, I'm ...
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4answers
188 views

Clustering methods ⊂ Unsupervised learning

Is it proper to say that clustering methods are mostly unsupervised learning techniques, with some exceptions such as model-based clustering?
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284 views

Clustering based on distance measure violating triangle inequality

Suppose I have a set of categorical data $X=\{x_1,x_2,\cdots, x_n\}$, (in my case $n =~ 10,000-50,000$) as well as a precomputed "distance" measure $g(x_i,x_j)$ (in my case I just have an array of ...
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1answer
913 views

Clustering sequence on similarity using percentage identity matrix

I have a set of 400 nucleotide sequences and want to cluster them on basis of similarity. For clustering, I am expecting a similarity <=45% among members of a cluster. Also, there will be a few ...
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1answer
212 views

Feature selection in clustering

I am looking for a method for feature selection in Gaussian Mixture Models. I have a dataset with 2000 records and 40 variables. I tried to use the "clustvarsel" package in R, which use the BIC as ...
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0answers
171 views

Stochastic Block Model Priors

In the generic stochastic block model (binary edge data, no degree correction, etc.), if an uninformed prior is used for the Bernoulli coefficients i.e. Beta with $(a,b) = (1,1)$, will the model ...
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100 views

Consensus methods for interpreting results of a cluster analysis

With cluster analysis, sometimes we want to assign meaning to the nature of the identified clusters. This is subjective and often done by a single person (or very few people) with perhaps some ...
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1answer
2k views

Best clustering algorithm for real estate data

I want to cluster real estate data to determine average price patterns in city and rural regions. My data set contains size, number of dorms, bathrooms and coordinates of the properties. Which would ...
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1answer
97 views

Unnatural clustering with known clusters shapes and optimization criteria

My question is similar to this question Clustering with shape prior, but with additional information. The second answer suggests a mixture model approach to this problem, which is something like ...
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468 views

How the quality of clusters made in SPSS can be evaluated?

How the quality of clusters made in SPSS with the method "TwoStep clustering" can be evaluated? Which test should be applied to be sure that the quality is good.
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112 views

What are Clustering techniques for this case? [duplicate]

What type of clustering methods are available for ordinal, nominal and ratio variables? Suppose I have one ordinal, one nominal and one ratio variable; is there a common clustering technique that can ...
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1answer
321 views

R codes for variation of information criterion using “mclust”

I am developing model-based clustering. First, I developed model-based clustering in R using "mclust." Next, I wanted to take 75% of the sample, re-run model-based clustering and compare the ...
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2answers
956 views

Create bins for lognormal data for cluster analysis

I have a series of dollar amounts that are highly right skewed, but are roughly log-normal. I want to put this grouped dollar amount as a predictor variable into a latent class cluster analysis. In ...
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2answers
2k views

LCA number of parameters & degrees of freedom

I have a series of physicians' claims submissions. I would like to perform cluster analysis as an exploratory tool to find patterns in how physicians bill based on things like Revenue Codes, Procedure ...
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168 views

Clustering groups that have replicated measures: hierarchical clustering on group-average VS regression tree

I measured 2 continous dependent variables (V1 and V2) on 10 occasions (10 replicates) for each of 4 groups. I aim to cluster my groups. i.e. I dont want to cluster replicates, since this could mix ...
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1answer
439 views

Ratio estimation model in 2-stage cluster sampling

I've been reading about stratified sampling, 2-stage SRS sampling, and ratio estimation in finite populations and I have a question. When the ratio estimator is introduced, it seems that in order for ...
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1answer
127 views

Estimating effects on membership in a cluster

Suppose you want to find clusters based on a set of variables $Y$, and that you want to estimate the effects of some variables $X$ on membership in those clusters. Here is how I am doing it now. Step ...
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2answers
1k views

Are there any good papers comparing different philosophical views of cluster analysis?

Lots of people use cluster analysis. I've heard very few explicitly say why. I imagine this is because within a given field, most researchers seem to understand why clustering is used for the problems ...
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1k views

Why does some model-based clustering fail to fit with a large number of dimensions?

I am attempting to cluster data using Mclust. The data is originally from a dissimilarity matrix, transformed via multidimensional scaling in R (MASS::isoMDS). As I ...
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1answer
894 views

Implementing EM clustering for a mixture markov model

I have a mixture Markov model (containing K clusters, or components) that I am trying to train, e.g perform clustering over a set of varying length sequences. Each component of the model is a first ...
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1answer
345 views

Can first-order Markov chain be considered a special case of a hidden Markov model?

I am trying to apply R depmixS4 package in order to cluster time series with model based clustering. The model consists of K components, each being a first order Markov models. The Expectation-...
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2answers
2k 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
3k 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 ...
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1k 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 ...