highdimsets: High-Dim Sets
In elbamos/clusteringdatasets: Datasets useful for testing clustering algorithms
Description
Usage
Format
Source
References
Description
Six sets of high-dimensional data, each with 1024 vectors and 16 gaussian clusters.
Usage
1
2
3
4
5
6
7
8
9
10
11
Format
Data frames
Source
http://cs.joensuu.fi/sipu/datasets/
References
P. Fränti, O. Virmajoki and V. Hautamäki, "Fast agglomerative clustering using a k-nearest neighbor graph", IEEE Trans. on Pattern Analysis and Machine Intelligence, 28 (11), 1875-1881, November 2006.
elbamos/clusteringdatasets documentation built on May 16, 2019, 2:58 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Source References
Description
Six sets of high-dimensional data, each with 1024 vectors and 16 gaussian clusters.
Usage
1 2 3 4 5 6 7 8 9 10 11 |
Format
Data frames
Source
http://cs.joensuu.fi/sipu/datasets/
References
P. Fränti, O. Virmajoki and V. Hautamäki, "Fast agglomerative clustering using a k-nearest neighbor graph", IEEE Trans. on Pattern Analysis and Machine Intelligence, 28 (11), 1875-1881, November 2006.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.