Madalina Ciortan
Overview of feature selection methods
Common strategies for choosing the most relevant features in your data set The importance of feature selection Selecting the right set of...
top of page
Search
Madalina Ciortan
Clustering data with graph oriented techniques
Introduction to Louvain graph community detection This post will show an alternative approach to clustering a dataset, which relies on...
Madalina Ciortan
An introduction to frequent pattern mining research
Summary of Apriori, Eclat and FP tree algorithms What are frequent patterns? Frequent patterns are collections of items which appear in a...
Madalina Ciortan
Subspace clustering
Challenges in high dimensional spaces This post addresses the following questions: 1. What are the challenges of working with high...
Madalina Ciortan
Gentle introduction to Echo State Networks
This post will address the following questions: - What are Echo State Networks? - Why and when should you use an Echo State Network? -...
Madalina Ciortan
Bayesian multiple change point detection
Recursive estimation of change points Change points are abrupt changes in a sequence of observations which split the observed data in one...
Madalina Ciortan
Simple example of 2D density plots in python
How to visualize joint distributions This post will show you how to: Use a Gaussian Kernel to estimate the PDF of 2 distributionsUse...
Madalina Ciortan
Overview of data distributions
How to choose the right distribution to model your data There are over 20 different types of data distributions (applied to the...
Madalina Ciortan
Expectation maximization
Finding the Maximum Likelihood Estimate of a model depending on unobserved latent variables This article presents a basic python...
Madalina Ciortan
Spectral clustering demystified
Let’s start by introducing some basing graph theory notions. Adjacency matrix (A) Given a graph with n vertices and m nodes, the...
Madalina Ciortan
Unimodality tests and Kernel density estimations
When processing a large number of datasets which can potentially have different data distributions, we are confronted with the following...
bottom of page