dtwclust | R Package for Time Series Clustering Along | Time Series Database library

by asardaes R Version: v5.5.12 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | dtwclust Summary

dtwclust is a R library typically used in Database, Time Series Database applications. dtwclust has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

R Package for Time Series Clustering Along with Optimizations for DTW

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Quality

Security

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Support

dtwclust has a low active ecosystem.

It has 235 star(s) with 29 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 61 have been closed. On average issues are closed in 86 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dtwclust is v5.5.12

Quality

dtwclust has 0 bugs and 0 code smells.

Security

dtwclust has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dtwclust code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dtwclust is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

dtwclust releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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dtwclust Key Features

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dtwclust Examples and Code Snippets

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Community Discussions

Trending Discussions on dtwclust

Assign the cluster number for each observation for time series data with hclust in R

R Shiny, zoomable dendrogram program

QUESTION

R n most similar time series - dwt clustering / nearest neighbour

Asked 2020-Oct-08 at 17:15

The data attached is a simplified example, as in reality I have hundreds of people and hundreds of points in time.

I am looking for a way to determine similar time series.

I have some code here to determine clusters, but this isn't exactly what I want.

What I would like is if I selected one person it would return the names of the n most similar time series.

I.e if n = 1, and I enter Bob it would return Dave, however if I entered Sam it would return Bob (with these names going into a new column with df). If n = 2 the first column would contain the most similar time series, and the second would contain the next most similar. This is similar to K nearest neighbours but across time series, so that each individual person has a different set of "neighbours".

If this is unfeasible, or too difficult I would alternatively like would to specify the number of people in each group, rather than the number of groups.

In this example I specified 4 groups, this does not make 4 groups of 2.

Group B contains 4 people, whilst C and D have only 1 person.

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ANSWER

Answered 2020-Oct-08 at 17:15

What you want to do is not to cluster the data, you want to order it according to one specific time-series, there lies the problem. To do what you want, first, you have to select a measure of "distance", that could be euclidean or correlation for example. In the next example, I provide a code with both measurements of distances (correlation and euclidean). It simple calculate the distance between the time-series, then sort it, and lastly pick up the N lower. Note that the selection of the measurement of distance will alter your results.

Source https://stackoverflow.com/questions/64244671

QUESTION

Assign the cluster number for each observation for time series data with hclust in R

Asked 2020-Sep-03 at 14:54

I have a time series data with 4 variables over about 5 years. I would like to cluster the data using hclust method in R. I would like to cluster the observations. My code works. However, I would like to identify the specific cluster for each observation. That is, I would like to add the number of the cluster beside each observation. My code gave me an error. I understand the error. So is there any way can I achieve my point.

Here is my try:

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ANSWER

Answered 2020-Sep-03 at 10:42

I suppose the problem is that your datNew is not a data.frame. Looking at:

Source https://stackoverflow.com/questions/63720977

QUESTION

R Shiny, zoomable dendrogram program

Asked 2020-Aug-08 at 16:31

I have a massive dendrogram with hundreds of names on it, that I'd like to be make interactive so that users can draw a box and "zoom in" on the names and part of the tree of interest. The original code for creating it is borrowed from here. Pictured here:

I turned it into a shiny app and borrowed some code from here in order to make it zoomable. And it KINDA works. It runs, the two graphs show up, and nothing gives me an error. But it doesn't work as intended. (I'll post code below). What I mean is that if I were to simply render my plot outside of shiny, all the names and everything are included. But when it renders in shiny, I can't draw my box over the names, only the lines of the dendrogram (hope that makes sense), and the "zoomed" graph is turned sideways (something to do with the coord_cartesian? What would I use instead) and looks very weird when it "zooms". Lastly I can't see both graphs at the same time and have to use a scroll bar to get to them, pictured:

Help! Code below (its from an r markdown document if that matters, sorry I couldn't include the actual data, has real names.

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ANSWER

Answered 2020-Aug-08 at 16:31

The tool I'd suggest using is dendextend+ggplot+plotly.

Example:

Source https://stackoverflow.com/questions/63286645

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dtwclust

The latest version from CRAN can be installed with install.packages("dtwclust"). If you want to test the latest version from github, first install the prerequisites for R package development (LaTeX is only necessary if you want to build the vignette) as well as the remotes package, and then type remotes::install_github("asardaes/dtwclust"). If you’re wondering about which version to install, take a look at the CHANGELOG file, I try to keep it updated. Check the continuous integration builds to make sure everything is working.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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