Using ML.NET to Build Machine Learning Models/

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Solution Review: Analyzing Clustered Data

Solution Review: Analyzing Clustered Data

Review the solution to making a clustering machine learning task meaningful.

We'll cover the following...

Our complete solution is available in the playground below:

<Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net6.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>disable</Nullable>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="Microsoft.ML" Version="2.0.1" />
  </ItemGroup>

  <ItemGroup>
    <None Update="Data\lisbon_house_prices.csv">
      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
    </None>
  </ItemGroup>

</Project>
Complete clustering solution

Solving the challenge

Before solving the challenge, we first remove the lines that were printing out the distances into the console. Then, in line 48, we create a dictionary object to store the cluster ID against a human-readable property ...