The Data Science Lab | Experiments With Data

The WordPress.com stats helper monkeys prepared a 2014 annual report for this blog.
Here’s an excerpt:
The Louvre Museum has 8.5 million visitors per year. This blog was viewed about 74,000 times in 2014. If it were an exhibit at the Louvre Museum, it would take about 3 days for that many people to see it....

This article follows up on the series devoted to k-means clustering at The Data Science Lab. Previous posts have dealt with how to implement Lloyd’s algorithm for clustering in python, described an improved initialization algorithm for proper seeding...

Clustering data into subsets is an important task for many data science applications. At The Data Science Lab we have illustrated how Lloyd’s algorithm for k-means clustering works, including snapshots of python code to visualize the iterative clustering...

An important problem in statistics and machine learning is that of classification, which is the task of identifying the category that an observation belongs to, on the basis of a training set of data containing other instances.
In the terminology of machine learning, classification is considered an instance of supervised learning, i.e. learning where a training set of correctly identified observations is available. The corresponding unsupervised procedure is known as clustering...