title: Clustering with Cross Validation in Rapid Miner
body: <p>I'm not sure what I'm doing wrong here but I'm hoping someone can help me out. I am trying to run x-validation in rapid miner with k-means clustering as my model. </p>
  
  <p>I import my dataset, set a role of 'label' on one attribute, transform the data from nominal to numeric, then connect that output to the x-validation process. I then connect the training data to the k-means clustering model and connect the clustering model to the model for the testing data. I apply a model from the k-means model and then apply the performance process. </p>
  
  <p>I keep getting an error that I need a special attribute 'label'. </p>
  
  <p>I'm not sure what I'm doing incorrect here, any help is appreciated. </p>
  
  <p>Main Process: 
  <img src="https://i.stack.imgur.com/L3pz2.png" alt="main-process"></p>
  
  <p>X-Validation process: 
  <img src="https://i.stack.imgur.com/B4wf0.png" alt="x-validation"></p>
  
  <p>Error message: 
  <img src="https://i.stack.imgur.com/5rwwi.png" alt="error"></p>