This document describes the use of the functions implemented in Cluster.OBeu package in OpenCPU environment, after installing OpenCPU and Cluster.OBeu package on your OpenCPU server address(/ocpu/test).
Go to: yourserver/ocpu/test
Type to the endpoint:
../library/ {name of the library} /R/ {function}If you want to see the function parameters you should:
Get
To run a function you should:
Post
Then you can click on Ajax Request.
In this example we will use cl.analysis function that returns in a single call a json string or a list with the following components:
| Component | Description |
|---|---|
| cluster.method | Label of the clustering algorithm |
| raw.data | Input data |
| data.pca | Principal components |
| modelparam | Clustering model specifications |
| compare | Clustering measures |
Go to: yourserver/ocpu/test
Copy and paste the following function to the endpoint
../library/Cluster.OBeu/R/cl.analysis
# library/ {name of the library} /R/ {function}Post
Click add parameters every time you want to add a new parameters and values.
Define the input data:
cl.data
sample_city_data
Define the cluster algorithm parameter:
cl.meth
pam
Define the cluster number parameter:
clust.numb
3
For larger datasets you can specify likewise a specific clustering feature (cl_feature), the amounts and the aggregation if needed by defining cl_feature, amount, cl.aggregate parameters, see Cluster.OBeu reference manual for further details.