k-means

For a first article, we'll see an implementation in Matlab of the so-called k-means clustering algorithm. K-means algorithm is a very simple and intuitive unsupervised learning algorithm. Indeed, with supervised algorithms, the input samples under which the training is performed …

Use MongoDB .NET driver with Matlab - Part.2

MongoDBI've presented the basics to connect with MongoDB database server and populate a collection with simple documents in a previous post. We're now going a step further by showing how to retrieve data and play with them.┬áLet's say …

Use MongoDB .NET driver with Matlab

MongoDBAfter an article on the use of SqlLite with Matlab, here is another way to interact with database, a NoSQL database powered by MongoDB.

First of all, you have to install MongoDB on your computer. For my part, I …

Working with SQLite database in Matlab

SQLiteYou might have already wonder how you could deal with large amount of data taken in lab ? For example, you might have led some experiences with different conditions / hypothesis, performed measurements and store the resulting raw samples into …

Combinatorial analysis - Enumerator

LogoC#In mathematics, the branch that studies number arrangement is called combinatorial analysis. This a pretty tough exercice in general because one we might think of all possiblilities, all ways numbers can be arranged. For example, try to figure how to …

2-D logistic regression

logistic regression thumbWe have previously presented a proposed implementation for the k-means algorithm on computed samples. We saw that the result performed quite well clustering our samples. The next step now is to evaluate the probablility that a new sample belongs to …