Hierarchical clustering on large data set. Practical example
I'd suggest to: flatten the data set into categories, e.g. taking the average of each column: that is, for each category and each skill divide number of 1's in the skill / number of jobs in the category. try …
spatial - What to use, k-means or hierarchical clustering for presence ...
Look at the dendrogram. You do not need to perform a horizontal cut, you can cut at different levels for different areas. Getting Noise is not bad, as there may be noise in your data. This will also happen …
Making a heatmap with a precomputed distance matrix and data …
What does this function do? Use getAnywhere("cluster_mat") to print it on screen, and you soon notice that it does nothing more than returning an hclust object, that is your dendrogram computed from the …
Leaf ordering for hierarchical clustering dendrogram
I'm looking for a simple ordering algorithm to find an admissible ordering of k leaf objects for dendrogram, given history of n-1 merged pairs. Pseudo-code or link would be very nice.
Gower's dissimilarity measure and Ward's clustering method
Jan 8, 2015 · You should never choose among the methods of hierarchical clustering by the view of their dendrogram. In particular, Ward's dendrogram is always good-looking, but this may mislead. Please …
Anyone know of a simple dendrogram visualizer? - Cross Validated
May 15, 2011 · I've written a small hierarchical clustering algorithm (for better or for worse). I'd like a quick way of visualizing it, any tooling ideas?
A measure to describe the distribution of a dendrogram
Oct 18, 2010 · This dendrogram changes over time (based on time series). The structure of the dendrogram slowly evolves and I am look for a measure to describe it (sort of descriptive statistics …
clustering - Calculating Jaccard similarity in R: all duo combinations ...
Dec 11, 2017 · I have been trying to compute Jaccard similarity index for all possible duo combinations for 7 communities and to create a matrix, or preferably Cluster plotting with the similarity index. There …
Clustering methods that do not require pre-specifying the number of ...
Oct 24, 2016 · The best methods often are those that let you navigate the result well, such as the dendrogram in hierarchical clustering. You can then explore substructures easily.
Cophenetic distance matrix to a dendrogram - Cross Validated
In hierarchical clustering procedure, a distance matrix is used to construct a dendrogram with an appropriate method of clustering. In the process of constructing a dendrogram, a cophenetic matrix is …