Clustering Houses

This workflow reads in a dataset. It then performs KMeans Clustering on the Housing Dataset.

Workflow

Below is the workflow. It does the following:

  • Reads data from a sample dataset.
  • Prints the results.
  • Assembles the features for predictions.
  • Splits it.
  • Perform KMeans Clustering.
  • ML Model save.
  • ML Model Load.
  • Prediction.
  • Print the prediction results.
Clustering Houses

Reading from Dataset

It reads sample Dataset file.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

Prints the results

It prints the sample dataset file results.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

Assemble the features for predictions

It assembles the features for predictions using VectorAssembler Node.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

Split it

It splits features of prediction using Split Node.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

Perform KMeans Clustering

It performs KMeans Clustering on the Housing Dataset using KMeans Node.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

ML Model save

It will save ML Model with given path using ModelSave Node.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

ML Model Load

It will Load ML Model with given path using ModelSave Node.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses

Prediction

It predicts features updated using Predict Node.

Processor Configuration

Clustering Houses

Processor Output

Clustering Houses