All Questions
81 questions
3
votes
1
answer
28
views
What is "clall" in index.Gap in "clusterSim" R package?
I am using the "clusterSim" package in my project (https://cran.r-project.org/web/packages/clusterSim/clusterSim.pdf, page 39) and I do not understand the meaning of the "clall" ...
- 51
1
vote
0
answers
99
views
Statistical method for finding homogeneous groups of curves
I need to divide a set of 100 or more response curves into groups.
These curves are formed by backscattering intensity along a range of frequencies. Basically, each curve represents the intensity in ...
- 11
1
vote
1
answer
286
views
Can we do clustering over several columns in a huge dataframe?
I have a dataset stands for customers retail sales data, it includes customer ID, Age, ...
- 339
1
vote
1
answer
604
views
Comparing clustering methods based on internal Cluster Validity Indices
I have used the R package dtwclust to generate clusters for more than a thousand time-series objects.Since I did not have any prior information on the number or validity of clusters, I used a suite of ...
- 41
0
votes
0
answers
337
views
K-prototype in R: Error when including missing values
I want to cluster data that includes categorical (dummies and variables with multiple categories) and numerical variables (normalised) and a substantial amount of missing values.
One reason why I want ...
- 1
0
votes
0
answers
309
views
How to "characterize" clusters (e.g K means)
I ran the K-means clustering algorithm on the iris data using the R programming language:
...
2
votes
1
answer
1k
views
K-Means Clustering of time series in R
I want to create a cluster of K-Means of time series with R but I don't know where to start.
Could you recommend some articles or tutorial?
- 23
2
votes
2
answers
72
views
How to make clusters (consisting of demands) equal to the load of a truck?
I am working on a routing problem where I have thousands of points (places) with individual demands (in Weight and Volume).
So far I have created 5 clusters based on their location. Now I need to ...
- 200
2
votes
0
answers
158
views
How to perform cluster analysis on categorial data in R
I have survey data with 1000 respondents, each one has awnsered 20 questions related to different product features of a car. Each question could be awnsered as "good", "indifferent"...
- 309
1
vote
0
answers
313
views
How to compare consistency between clustering results and list of values with different levels in R?
I found similar subjects on the website but I may have missed the relation with my own question. I'v seen questions about comparison of clustering results, but here it's more about comparing two lists ...
- 11
3
votes
1
answer
2k
views
Assign new data to a cluster (using Gower distance and PAM algorithm)
I have a dataset which has mixed data types and hence I used Gower dissimilarity matrix as input to cluster the data using Partitioning Around Medoids (PAM) algorithm.
I wanted to know if there is any ...
- 63
0
votes
1
answer
342
views
Using the ARI to validate clusters
To validate the results of a clustering solution, I am using the ARI to quantify the agreement with a reference classification method.
Something which I do not quite understand is the concept of a "...
- 73
1
vote
1
answer
6k
views
Elbow method not giving a proper curve [duplicate]
I am trying to determine how many clusters to use for my k-means clustering using different methods. Gap statistic is giving me k=4 and Silhouette k=3. I have run k-means with both values and both of ...
1
vote
0
answers
19
views
K means clusters, would PCA be a better option?
I have the data below. I need to use a clustering method to classify them and into categories of "Heterozygotote, Allele 1, Allele 2 and No Call. The values in RFU1 and RFU2 are used to determine the ...
0
votes
1
answer
64
views
k-means method clarification
I am pretty new to k-means and cluster analysis methods, but I am trying to do it on 5 different measures of inequality and redistribution (Gini, P90/P10, Atkinson with different parameters and the ...
-1
votes
1
answer
27
views
0
votes
2
answers
869
views
R - high dimension data using k means clustering [closed]
The dataset is 1000(observations) x 700(variables), After using pca to do dimension reduction, PC150 explained 85% Variance, so I use this (1000 x 150) data to do k means clustering.
This code was ...
- 3
3
votes
0
answers
38
views
Is my variable considered okay to use in k-means clustering with Euclidean distance?
I was wondering if I can use regular kmeans() in R with my variable "number of drug prescriptions" which equals a number between 1-25. From what I've read k-means ...
- 183
-1
votes
1
answer
94
views
Does this clustering quality metric make sense?
I am trying to stop at best quality metric in my clustering task. (I make spectral clustering using k-means).
In short, I calculate intra-cluster pair-wise distances, take their square and sum them ...
- 3,049
0
votes
1
answer
910
views
0
votes
1
answer
82
views
Clustering for medium data [closed]
Which clustering method is good in R for a data with ~32,000 subjectsa and 10 variables, hierarchical or k-means?
- 15
3
votes
1
answer
3k
views
How can I order kmeans clusters?
I have a kmeans cluster object and I would like to order the clusters. Not the observations within the clusters, rather the clusters in order of each other.
Is there a way of doing this? I found ...
- 1,588
1
vote
2
answers
3k
views
How to optimize the result of K means
I am analyzing the data of abalone. My goal is to classify the data into three categories(premium, medium premium, and classic). Since it's an unlabeled dataset, so I utilized K means clustering to do ...
- 13
1
vote
1
answer
355
views
K-means dominated by one or two variables only
What should we do if clustering such as K-means is dominated by one or two variables in the list of used variables? Shall we leave the other variables?
- 51
4
votes
2
answers
111
views
Is k-means clustering supposed to behave like this?
First of all, data I'm using can be found here.
My code is:
...
- 214
5
votes
2
answers
2k
views
Compare clustering results with different attributes and number of clusters
I used K-means to cluster a large data set that has millions of samples. I tried to create the clusters with different sets of attributes, which, as a result, generated different optimal number of ...
- 159
1
vote
1
answer
557
views
K-means clustering on a large matrix using kendall's tau as a distance measure
I'm trying to use kmeans clustering on a relatively large matrix (4000x4000) using the amap::Kmeans function but R seems to be freezed even after more than half an hour. I have to restart R after this....
- 949
1
vote
2
answers
395
views
Cluster Analysis on a 20,000+ row data set using K-Means 'tot.withinss' not working in R
I have 20,000+ rows of data around 7 columns. I tried to do cluster analysis on it using K-Means where k= 5. When I attempted to plot the clusters, it was not helpful at all, too much data so it all ...
- 11
2
votes
1
answer
777
views
Clustering spatial data based on location and values
I'm looking for a way, preferably in R, to create a cluster of point data (specifically, the centroids of UK postcodes), where each cluster comes as close as possible to containing a certain number of ...
Tom
1
vote
0
answers
138
views
Analysis of k-means clustering in r
I have a group of 144 people. I have 3 categorical observations and each of them is described by three variables. After performing a k-means on 3 clusters in r I see that one of the groups, "overt" ...
- 171
1
vote
1
answer
357
views
R: why different between [k-means] build-in function and Kmeans from amap package
I am doing k-means algorithm on iris data using two functions, the regular "kmeans" and "Kmeans" from amap package.
...
- 11
4
votes
1
answer
3k
views
clustering groups but with multiple observations per group
I'd have 10 groups and hundreds of observations per group. In this toy example I only have 3 groups with 20 observations each.
I am looking to see if groups are similar so I'm using kmeans to ...
- 796
2
votes
2
answers
1k
views
Clustering with numerical variables and one non numerical
I'd like some help with an issue that might seem easy but I'm stuck in my analysis.
I'm working with R on a dataframe containing 15 variables: 14 numerical or Integer and 1 factor. I'd like to do ...
0
votes
0
answers
712
views
can I use manhattan distance function on hartigan wong kmeans clustering
I would like to perform Hartigan Wong clustering on high dimensional data. As I understand, Manhattan distance works better than the Euclidean distance in higher dimensions.
I have been using the K-...
- 283
3
votes
2
answers
3k
views
Is there a clustering algorithm that can take a maximum distance from any mean as a constraint?
I am building an analytical tool that depends on being able to take a bunch of 1 dimensional numbers and group them into categories based on how close each number is to the mean of the group. However, ...
- 1,275
1
vote
1
answer
193
views
Unsupervised classification - verification of clusters
Not sure if this is best placed here but I will have a go.
I am working with clinical data in order to stratify patients using different biomarkers. I have log transformed and MinMax normalised all ...
- 201
1
vote
2
answers
486
views
How to find the driving individuals of different k means clusters
My data of 4000 gene expression values across 159 different cells is formatted as so:
...
- 11
5
votes
2
answers
10k
views
Optimal number of clusters using K-Prototypes method in R
I am trying to cluster some big data by using the k-prototypes method. I am unable to use K-Means as I have both categorical and numeric data.
I have been using the package "clustMixType" and have ...
- 151
1
vote
1
answer
1k
views
Customer behavior analysis and clustering using data from loyalty program?
I'm trying to do some analysis on customers behavior. Basically, I have information on customer's loyalty points activities data (e.g. how many points they have earned, how many points they have used, ...
- 11
2
votes
2
answers
713
views
Mapping k-means cluster centers and origins (measuring k-means accuracy)
Say I generate a dataset $X$: the first $i$ samples follow $x_i\sim N(\mu_1,\Sigma_1^2)$, the next j samples follow $N(\mu_2,\Sigma_2^2)$ and the last $l$ samples from $N(\mu_3,\Sigma_3^2)$. Naturally,...
- 4,027
2
votes
0
answers
2k
views
Why Elbow algorithm plot shows a straight line instead of curve line?
I want to apply kmeans clustering algorithm on dataset of 12008 samples. This dataset is actually an eigenvector matrix of size (12008 * 12008) generated from given laplacian matrix. In order to ...
- 499
5
votes
1
answer
19k
views
How to interpret the clusplot in R
I have plotted the Bivariate Cluster Plot (of a Partitioning Object) using the clusplot from the cluster package. Following is ...
- 126
4
votes
2
answers
3k
views
K-Means clustering visualization & evaluation
I want to know after running K-means algorithm on a data set of say 10 variables and getting optimal clusters through Elbow curve--how do I to evaluate the goodness of these clusters (I mean apart ...
- 345
0
votes
1
answer
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 ...
- 55
2
votes
3
answers
3k
views
Clustering into ordered clusters
In a research study I have a list of countries and data about them.
GDP
Population
Oil exports
Oil imports
Percentage of electricity produced with renewable energies
Urbanization
Percentage of GDP ...
- 5,257
2
votes
1
answer
186
views
After creating a cluster in R, how can I identify which centers are the most important in each cluster? [closed]
I have 30 observations and 60 variables. I conducted a k-means cluster in R with 5 clusters. If I am supposed to choose only 10 variables to show that they have the impact on creating clusters more ...
- 21
9
votes
1
answer
10k
views
Was it as valid to perform k-means on a distance matrix as on data matrix (text mining data)?
(This post is a repost of a question I posted yesterday (now deleted), but I've tried to scale back volume of words and simplify what I'm asking)
I'm hoping to get some help interpreting a kmeans ...
- 1,588
6
votes
1
answer
11k
views
R - How to fix NbClust error with error message: "The TSS matrix is indefinite. There must be too many missing values."
I would like to know how I can use clustering methods in R (in this case, Kmeans) if I have an "unkind" input matrix (I get this error log:
The TSS matrix is indefinite. There must be too many ...
- 61
1
vote
1
answer
317
views
In R package 'cclust' is there an equivalent of 'nstart' option from the 'kmeans' package? [closed]
I am trying to do k-means clustering in R using the cclust package.
In k-means clustering, the initial centroid assignment greatly affects the final allocation. The kmeans package has an nstart option,...
- 846
-1
votes
2
answers
3k
views
Meaning of this Cluster Analysis
I have 801 households (or customers). I have say 100 features on which I will describe a customer.
I have a feature map with me. I now apply K Means algorithm for the value of K say 6. I get 6 ...
- 309