Comparing Clustering Methods On Rent Data

A Comparative report between Clustering-Based Anomaly Detection & K-means Clustering

The data used is summarised in this table :

Source	UCI
Problem	Anomaly Detection Clustering
Data Size	100K
Features	21
Main Features	Price, Square feet, Bathrooms, Bedrooms
Datatypes	Object (17), Float32 (4)
Sample Size	8.3K