Classifier

Layer-7 Packet Classifier for Linux is a classifier for the Linux kernels Netfilter subsystem that identifies packets based on application layer data (OSI layer 7). This means that it can classify packets as HTTP, FTP, Gnucleus, eDonkey2000, etc, regardless of port. Our classifier complements... Platforms: *nix

dbacl is a general purpose digramic Bayesian text classifier. It can learn text documents you provide, and then compare new input with the learned categories. It can be used for spam filtering, or within your own shell scripts. Sometimes it plays che Platforms: Mac, BSD, Solaris, Linux

The RDP Classifier is a naive Bayesian classifier that can rapidly and accurately provides taxonomic assignments from domain to genus, with confidence estimates for each assignment. More information can be found at http://rdp.cme.msu.edu/. Platforms: Windows, Mac, Solaris, Linux

It is known that there is no sufficient Matlab program about neuro-fuzzy classifiers. Generally, ANFIS is used as classifier. ANFIS is a function approximator program. But, the usage of ANFIS for classifications is unfavorable. For example, there are three classes, and labeled as 1, 2 and 3. The... Platforms: Matlab

Many image problems require some kind of detection of objects, in which there is a natural variation in appearance of the objects between the images.Using a basic PCA classifier, this script is able to execute two type of actions: pattern recongitions and change detections.It has various... Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

SC - Sparse ClassifierFSC - Fast Sparse ClassifierGSC - Group Sparse ClassifierFGSC - Fast Group Sparse ClassifierNSC - Nearest Subspace ClassifierRequires SPGL1 - http://www.cs.ubc.ca/labs/scl/spgl1/Requires Sparsify - http://www.see.ed.ac.uk/~tblumens/sparsify/sparsify.htmlRequires... Platforms: Matlab

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y... Platforms: Matlab

Fuzzy k-nearest neighbors classifier that can work with training samples whose label info is fuzzified. The prototype is as follows.[y,predict_class] = f_knn(tr,tr_memberships,te,k)tr: training samplestr_memberships: membership values of traning sampleste: testing samplesk: k value vector (more... Platforms: Matlab

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn. The good classification performance can be obtained for a certain class of data distributions. Other classifiers must be... Platforms: Matlab

Many image problems require some kind of detection of objects, in which there is a natural variation in appearance of the objects between the images.Using a basic PCA classifier, this script is able to execute two type of actions: pattern recongitions and change detections.It has various... Platforms: Matlab

BayesianKit - Cocoa Objective-C Framework for a naive bayesian classifier BayesianKit is a Mac OS X Framework written by Samuel Mendes in Objective-C 2.0 and released under BSD 3-clauses license. BayesianKit offers a simple, ready to use, implementation for a bayesian classifier. A command line... Platforms: Mac

TexLexAn is an open source text analyser for Linux, able to estimate the readability and reading time, to classify and summarize texts. It has some learning abilities and accepts html, doc, pdf, ppt, odt and txt documents. Written in C and Python. Features . GUI and CLI to Analyze, classify... Platforms: *nix

Pyndex is a simple and fast full-text indexer and Bayesian classifier implemented in Python. It uses Metakit as its storage back-end. It works well for quickly adding search to an application, and is also well suited to in-memory indexing and search. Platforms: *nix

The Outlook addin is an application of the SpamBayes project that adds support for the SpamBayes spam-ham-unsure classifier for sorting email. The current version of the plug-in should work with Windows 98 and above and Outlook 2000 or above (not Outlook Express). Platforms: Windows

Canzoniere is an Mp3 mood classifier. Canzoniere is an mp3 classification tool, which allows users to classify their songs using personal criteria such as artist score, song score and moods (i.e. romantic, relax, party, etc.). Users can then select their mood and play songs that match..... Platforms: *nix

dbacl - a digramic Bayesian classifier The dbacl project consist of a set of lightweight UNIX/POSIX utilities which can be used, either directly or in shell scripts, to classify text documents automatically, according to Bayesian statistical principles. dbacl(1) is also the name of the core... Platforms: *nix, C/C++, BSD

SpamBayes is a Bayesian anti-spam classifier written in Python. The major difference between this and other, similar projects is the emphasis on testing newer approaches to scoring messages. While most anti-spam projects are still working with the original graham algorithm, we found that a... Platforms: *nix

ClaMS is a handy application specially designed to offer you a sequence composition-based classifier for metagenomic sequences. ClaMS works by capturing signatures of each sequence based on the sequence composition. Each sequence is modeled as a walk in a de Bruijn graph with underlying Markov... Platforms: Windows

Source code for fast training of multilayer perceptron classifier. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. A... Platforms: Windows

JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker). Platforms: Windows, Mac, Linux