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...

SharePointBoost, a Microsoft® Gold Certified Partner, is a leading developer of SharePoint Web Parts and add-ons.Fully compatible with SharePoint 2007, WSS 3.0, SharePoint 2010, SharePoint Server 2010, MOSS 2007, as well as SharePoint Foundation 2010, our SharePoint web parts and add-ons are...

Smart File Classifier is a software for Win32 platforms, Win2k WinXP and Vista.It can batch classify many files to specific subfolders automatically. Main Features--------------------------------------------------1. Classify files by file date, name, number, type or size 2. Preview the results3....


Platforms: Windows

Here is a mex implementation of a Parzen classifier


Platforms: Matlab

Directory Classifier lets you view a customizable listing of the contents for any folder on your computer. You can easily save the folder listing as TXT or PDF file. The listing can be imported into most popular spreadsheets and database applications. You can apply filters to limit the files that...


Platforms: Windows

File Classifier is a powerful and flexible tool to create files catalogs.You can use the program as: a CDs, DVDs or other mediums catalog, a picture or music collection, a document library, a file organizer, and more. The program allows you:to extract and store folder structure of mediums; to...


Platforms: Windows

NeuroXL Classifier is a neural network add-in for Microsoft Excel. NeuroXL Classifier (ClassifierXL) is an add-in for Excel designed to aid experts in real-world data mining and pattern recognition tasks. It hides the underlying complexity of neural network processes while providing graphs and...


Platforms: Windows

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

In pattern recognition, and in particular multiple classifier systems, a common problem is to calculate competence of a classifier for a given object. Methods for calculating the competence currently developed are based only on crisp decision of the classifier, i.e. correct/incorrect...


Platforms: Matlab

This classifier is based on the idea that first we create ideal vectors from each class. In this implementation mean vectors are used. Then, it uses similarity measure to calculate similarities between samples and idealvectors and class of the sample is decided based on highest similarity value....


Platforms: Matlab

This code provides a two simple examples of naive Bayes classifier. In the first example the input are a bunch of positive and negative numbers and their corresponding classes i.e. posi or negi and is tested with random numbers. In the second example the input are numbers and task is to classify...


Platforms: Matlab

Kernel version of the sparse representations classifier implemented with CVX#The kernel sparse representations classifier implemented here is# based on the paper 1)Robust Face Recgnition via Sparse Representation John Wright, Student Member, Allen Y. Yang, Member, Arvind Ganesh, Student Member,S....


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

Discriminant Functions is one of statistical technique used in Pattern Recognition for separating classses.This is parametric methods, means, it requires that mean and covariance of class is known. In other words, Probability Density of given class should be known to apply this method.Here, two...


Platforms: Matlab