In kleanthisk10/OBeU: Cluster Analysis 'OpenBudgets.eu'

Introduction

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).

How to use functions

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:
- Select Method: Get
To run a function you should:
- Select Method: Post
Then you can click on Ajax Request.

OpenCPU and Cluster.OBeu

cl.analysis

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:

Table: cl.analysis components

Select library and function

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}

Select Method: Post

Adding parameters parameters

Click add parameters every time you want to add a new parameters and values.

Define the input data:
- Param Name: cl.data
- Param Value: e.g. sample_city_data
Define the cluster algorithm parameter:
- Param Name: cl.meth
- Param Value: pam
Define the cluster number parameter:
- Param Name: clust.numb
- Param Value: 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.