Tnm Classification

Spaxy is a POP3 proxy for email classification. It includes robust filters based on booleans operators. Queries can analyze multipart and encoded (qp/base64) messages. For SPAM detection on most platforms (QT) and clients. Platforms: Windows, Mac, Linux

Here we uses matlab inbuilt functions. But our task is to remove all inbuilt functions write our own functions using wavelet concepts to implement in Embedded systems.This code is developed using the following reference paper.http://www.sciencedirect.com/science/artic...263224109002139 Platforms: Matlab

we built the matrix that let us watch the variations of distances of one class to another class, allowing search for a uniform distribution of distances for make a correct classification of unknown data system Platforms: Matlab

DiskSorter is a file classification utility allowing one to classify and categorize files in local disks, network shares and NAS storage devices. Users are provided with multiple product versions ranging from an easy-to-use free version to an enterprise-grade version capable of classifying and... Platforms: Windows

DiskSorter is a file classification utility allowing one to classify and categorize files in local disks, network shares and NAS storage devices. Users are provided with multiple product versions ranging from an easy-to-use free version to an enterprise-grade version capable of classifying and... Platforms: Windows

It is developed mainly for SCM in pattern classification domain. This version is a well tested release of SCM.The main reference is from this paper: The Set Covering Machine,http://jmlr.csail.mit.edu/papers/volume3/m...marchand02a.pdf,the author would like to thank Edward Dale for his python... Platforms: Matlab

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms. Platforms: Windows, Mac, Linux

Model for Soft Independent Modeling of Class Analogy (SIMCA) simca_model=simca(x,classes) input: x (samples x descriptors) for calibration classes (samples x 1) classes numbers (must be >0) output: simca_model struct with: models (1 x No. classes) struct with: (one for each class) x (samples x... Platforms: Matlab

Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques Platforms: Windows, Mac, Linux

The provided functions demonstrate a histogram-based measure for class separability, given the samples from two classes (binary classification problem). The proposed error classification estimation method is described in (B) and it is based on estimating the pdf of each class using histograms.... Platforms: Matlab

GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner). Platforms: Windows, Mac, Linux

Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base. Platforms: Windows, Mac, Linux

T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction. Platforms: Windows, Mac, Linux

This GUI includes is a set of multivariate image analysis methods for analyzing image data sets acquired at two variables. For example: emission excitation image data, spectral or dynamic (temporal) sequences of images acquired at different depths using microscopy.Two approaches are included:1.... 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

The software accepts the list of labels as an argument on the command-line, and the rest of the functionalities can be accessed using the GUI: * Select polygonic regions with as many vertices as needed. * Assign a label to selected regions. * Modify the properties of previously marked regions: o... Platforms: Matlab

The 2D ARMA estimation algorithm is the implementation of the approach proposed in "Two-dimensional ARMA modeling for breast cancer detection and classification" by N. Bouaynaya, J. Zielinski and D. Shonfeld.Content:- arma2Ddemo: See and run the demo 'arma2Ddemo' for an example of 2D AR and ARMA... Platforms: Matlab

PHPBibMan is a webbased literature database for scientific purposes. It aims to be fully compatible with BibTex and offer comfortable exchange of references for scientists.PHPBibMan depends on a web server that runs PHP, and a database to store the references. PHPBibMan does NOT depend a a... Platforms: PHP

FreeICD is a multilingual coding assistant for the International Classification of Diseases version 10 (ICD10). Introduction The ICD10 is published by the WHO. WHO has the copyright of the license of the ICD10. This classification is internationally used and translated in multiple languages. You... Platforms: Mac

This code is provides a simple introduction to some of the Classification capabilities in Statistics Toolbox. Key techniques used includeUsing normplot to see whether features are normally distributed.Using coercoff to look for correlation between features.Using cvpartion to separate data into a... Platforms: Matlab