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Results tagged with clustering
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user 19762
Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
5
votes
1
answer
179
views
how to complement the results of cluster analysis with known groups
Clustering analysis assuming 9 clusters. …
- 3,643
12
votes
Accepted
Clustering high dimensional data (p > n) in R
The functions include Hierarchical Clustering, Partitioning Clustering, Model-Based Clustering, and Cluster-wise Regression. … Density-based clustering: n density-based clustering,[8] clusters are defined as areas of higher density than the remainder of the data set. …
- 3,643
9
votes
2
answers
7k
views
Clustering a noisy data or with outliers
I have a noisy data of two variables like this.
x1 <- rep(seq(0,1, 0.1), each = 3000)
set.seed(123)
y1 <- rep (c(0.2, 0.8, 0.3, 0.9, 0.65, 0.35,0.7,0.1,0.25, 0.3, 0.95), each = 3000)
set.seed(1234)
…
- 3,643
15
votes
2
answers
17k
views
How to fit mixture model for clustering
How can fit mixture model and perform classification (clustering) in this situation effectively? …
- 3,643
5
votes
1
answer
198
views
how to discard values that are far from center of cluster in mixture model
I am trying to fit a bivariate cluster model with X and Y. What I would like to do is discard (make not clustered / un-grouped) that are far from the cluster center (for example $\mu$ + 2*standard dev …
- 3,643
2
votes
1
answer
109
views
calculating probability or filtering that certain subject is not in the particular cluster
I have a situation where there are n individuals and p features (variables). I do have their cluster information. Here is an example:
myd <- data.frame (
sub1 = c(1, "AB", "AB", "BB", "BB", "AA", "B …
- 3,643
1
vote
Accepted
using cluster information in multiple imputation
The following function is based on the paper "Imputation of Missing Values for Unsupervised Data Using the Proximity in Random Forests" by Tsunenori Ishioka in eLmL 2013. Please follow the paper for …
- 3,643