DBSCAN Clustering
DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means.
Interpreting LSI Document Similarity
In this post I’m sharing a technique I’ve found for showing which words in a piece of text contribute most to its similarity with another piece of text when using Latent Semantic Indexing (LSI) to represent the two documents. This has proven valuable to me in debugging bad search results from “concept search” using LSI. You’ll find the equations for the technique as well as example Python code.
Word2Vec Resources
While researching Word2Vec, I came across a lot of different resources of varying usefullness, so I thought I’d share my collection of links and notes on what they contain.
Word2Vec Tutorial - The Skip-Gram Model
This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual introductory and abstract insights about Word2Vec, and get into more of the details. Specifically here I’m diving into the skip gram neural network model.
Google's trained Word2Vec model in Python
In this post I’m going to describe how to get Google’s pre-trained Word2Vec model up and running in Python to play with.