Hi, this sounds great to me as well! I have been using [math] for some time and I found it very handy (congratulations to math team!). As for data mining functions I didn't have a chance to look what is implemented elsewhere yet (e.g: WEKA) but if there is anything what could be started in commons-math domena then I could offer my implementation of association mining package. It is not finished yet and still needs more tuning but I hope to finish it soon and see if it is helpful to other people.
Regards, Lukas On 8/14/05, John Gant <[EMAIL PROTECTED]> wrote: > Algorithms: > > - Feature reduction > a. Basic cross correlation, including both spearman and pearson cross > correlation algorithms. > b. Principal Component Analysis. > c. Entropy Based reduction. > > I currently have a, and b finished but need to brush up on my junit skills :) > > -Difference Measures > I had in mind a difference engine, basically an engine that handles > all difference operations. This difference engine could, in the > constructor or using set methods, take an instance of one of the > following difference methods. > > a. euclidean distance > b. city-block distance > > -Pattern Discovery > a. KMotif Discovery Algorithm. > > Again I have this algorithm completed, just need to boundary test everything. > > -Clustering Algorithms > a. K-means Algorithm. > > I'd like to discuss the architecture of the k-means, I have a few > ideas and would like a little feedback. I know this is just a small > subset of the available algorithms, but this seems to be a good start. > > Thanks, > John > > On 8/13/05, Phil Steitz <[EMAIL PROTECTED]> wrote: > > John, > > > > Sounds great! Extending the stat package to include some data mining > > capabilities would be a good and useful addition to commons-math, > > IMHO. To get started, the first thing to do is to read the > > developer's guide > > (http://jakarta.apache.org/commons/math/developers.html), which will > > tell point you to the general apache references and go over some IP > > stuff that we have to worry about in [math]. > > > > Then either here or on the Wiki (see the guide for a link), post a > > brief description of the kinds of mining algorithms that you are > > interested in developing and we can get this going. On this list, pls > > begin the subject line of all [math] messages with [math]. > > > > Thanks in advance for your contributions! > > > > Phil > > > > On 8/13/05, John Gant <[EMAIL PROTECTED]> wrote: > > > Hello, > > > I am currently a graduate student in Computer Science and Computer > > > Engineering at the University of Louisville, Kentucky. First let me > > > congratulate the group of developers who commit and architect for > > > apache commons. I have used many of the libraries and they are all of > > > excellent quality (but I guess you already know that :)). I am > > > interested in contributing to open source software and have interests > > > that are in the domain of statistics with a focus in data mining. > > > After writing many algorithms for classes, and asking an apache > > > contributor if any of this would be needed elsewhere, he told me to > > > purpose something to the dev list. So here it goes, I would like to > > > help start a data mining section of commons math and advance the > > > existing statistical libraries. I plan on developing the algorithms > > > for personal use anyway, and would like to see some of my work be used > > > by others. If anyone is interested we can continue this thread and I > > > will email my code, and purpose my new algorithms. > > > > > > > > > John Gant > > > > > > --------------------------------------------------------------------- > > > To unsubscribe, e-mail: [EMAIL PROTECTED] > > > For additional commands, e-mail: [EMAIL PROTECTED] > > > > > > > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: [EMAIL PROTECTED] > > For additional commands, e-mail: [EMAIL PROTECTED] > > > > > > > -- > John Gant > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [EMAIL PROTECTED] > For additional commands, e-mail: [EMAIL PROTECTED] > > --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
