Network Centrality and Robustness
Introduction
A system is robust if the failure of some components doesn’t affect its function. As network engineers, we face various types of network failures like link, node failures all the time.
Five Number Summary for Network Topologies
Introduction
You may or may not have already heard about the Five Number summary for a dataset. It’s basically a set of descriptive statistics for a given dataset, which provides an idea about the dataset. Those are:
Spectral Clustering
Motivation
Clustering is a way to make sense of the data by grouping similar values into a group. There are many ways to achieve that and in this post we will be looking at one of the way based on spectral method. Spectral clustering provides a starting point to understand graphs with many nodes by clustering them into 2 or more clusters. This clustering technique can also be applied for analyzing general data. This technique is based on Linear algebra and Graph theory.
Bayesian Non-Finite Mixture Models
Motivation
Following up from our previous post on Bayesian Finite Mixture Models, here are my notes on Non-Finite mixture model.
Bayesian Finite Mixture Models
Motivation
I have been lately looking at Bayesian Modelling which allows me to approach modelling problems from another perspective, especially when it comes to building Hierarchical Models. I think it will also be useful to approach a problem both via Frequentist and Bayesian to see how the models perform. Notes are from Bayesian Analysis with Python which I highly recommend as a starting book for learning applied Bayesian.