/Finding-Different-People-in-Mall-using-Hierarchical-Clustering

This is clustering program which can classify people according to their activity in a Mall

Primary LanguageJupyter Notebook

Hierarchical Clustering

The way a Machine can split the datas into different splits. This Comes under Unsupervised learning.

There are many algorithms wich can classify a specific data to clusters.
This process is called as Clustering.

In this program I have used a algorithm called Hierarchical Clustering, Which can cluster with the help of Dendograms

Dendograms

Dendograms are basically a graph wich will tell the distances between two clusters.

At first it is being constructed by a single object as a cluster and later it begins with other near one with Euclidean distance and later on it clusters with other groups until to form a final cluster.

You can use different distances such as Hamming distance , Levenshtein distance ,etc...

download