K-means---High-Dimensional-Data

Applying Kmeans to high dimensional data with 63 column fields.

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STEPS

1. Data Preparation

   a. Describing the Data

   b. Scaling Data: Standardization

   c. Dimension Reduction

   Applied PCA(Prinicpal Component Analysis) and converted all column fields into 2 independent            fields.
   

2. Optimum K-Value

   a. Silhouette Scores

   b. Elbow Method

3. Fitting the finalized K-Means

4. Plotting the cluster chart