# How to cluster Houses on the basis of similarity of features+location?

I have a dataset of houses like this:

HouseID  Latitude Longitude PriceIndex
1          1.4     103.120    1.21
2          1.42    103.112    2.01


I want to find houses which are similar to each other both on the basis of their position as well as their price index.[Also would need to Rank in order of similarities, given one house] I tried using hclust package in R and was able to extract 9 classes. However the groups don't seem to have any interpretable similarities (for example the points are spread all across the city etc). I haven't done clustering based projects before so any help in the right direction will be helpful. Thanks!

Edit: Removing the price index column from the clustering data-set actually clusters spatially. But adding the price shows only price-based clustering

• Did you try doing k-means clustering? – Dawny33 Dec 1 '15 at 6:39
• @Dawny33 :yes, similar results. – UD1989 Dec 1 '15 at 6:53