Let's say I have 300 restaurants that I want to compare to each other on the basis of a "similarity score". To try and determine similarity scores, I pick a reference restaurant and pick 3 other ...
I'm looking to do some heavy-duty manipulation of some really large and often very sparse matrices and I'm looking for the right tool for the job. These matrices will be much, much larger than the RAM ...
I'm looking for a clustering implementation with the following features: Support for high-dimensional data. Now I have approximately 160.000 dimensions/features. Be able to manage sparse matrix. ...
Most clustering algorithms I've seen start with creating a each-to-each distances among all points, which becomes problematic on larger datasets. Is there one that doesn't do it? Or does it in some ...
I have a little problem that is making me freaking out. I have to write procedure for an online acquisition process of a multivariate time series. At every time interval (for example 1 second), I get ...
I'm looking for a good algorithm (meaning minimal computation, minimal storage requirements) to estimate the median of a data set that is too large to store, such that each value can only be read once ...