updates readme with clustering

README.md

@@ -10,4 +10,30 @@ tags:
 - security
 size_categories:
 - 10M<n<100M
----
+---
+
+# Venafi Public Certificate Features Dataset
+
+We are excited to announce the release of the Venafi Public Certificate Features dataset. 
+This collection of data contains extracted features from 19m+ certificates discovered on the public internet. 
+The features are a combination of X.509 certificate features, RFC5280 compliance checks, 
+and other attributes intended to be used for clustering, features analysis, and a base for supervised learning tasks (labels not included).
+Some rows may contain nan values as well and as such could require some additional pre-processing for certain tasks.
+
+Venafi is excited to engage with the data science community to increase the adoption of machine learning techniques 
+in the machine identity management and wider security domains.
+
+## Clustering and PCA Example
+
+To demonstrate a potential use of the data, clustering and Principal Component Analysis (PCA) were 
+conducted on the binary data features in the dataset. 10 clusters were generated and PCA conducted with the top 3 components preserved.
+
+KMeans clustering was performed to generate a total of 10 clusters. In this case we are primarily 
+interested in visualizing the data and understanding better how it may be used, so the choice of 10 clusters is mostly
+for illustrative purposes.
+
+The top three PCA components accounted for approximately 61%, 10%, and 6% of the total explained variance
+(for a total of 77% of the overall data variance). A plot of these components in 3D space grouped into the 10 clusters is shown below.
+
+
+![](ClusterAnalysis/clusters.png)