Fuzzy Clustering

Bio::Tools::Run::TribeMCL is a method for clustering proteins into related groups, which are termed protein families. SYNOPSIS use Bio::Tools::Run::TribeMCL; use Bio::SearchIO; # 3 methods to input the blast results # straight forward raw blast output (NCBI or WU-BLAST) my @params =...

HA/FST is a high availability clustering tool for up to four Solaris nodes. HA/FST project supports any application that can be managed from the command line. HA/FST works similar to other HA tools. Heartbeats sent across a private network are monitored. If these heartbeats fail and subsequent...

AI::FuzzyLogic is a Perl module for Fuzzy Set Operations and Tools. SYNOPSIS use AI::FuzzyLogic; $i = new AI::FuzzyLogic $unittype, @numbers; # new set with one subset $i = new AI::FuzzyLogic age, 0, 0.1, 0.2, 0.1, 0; # same thing $i = new AI::FuzzyLogic $subset1, $subset2, $subset3; #...


Platforms: *nix

Welcome to the world of Fuzzy Fingerprinting, a new technique to attack cryptographic key authentication protocols that rely on human verification of key fingerprints. It is important to note that while fuzzy fingerprinting is an attack against a protocol, it is not a cryptographic attack and...


Platforms: *nix

Neural Creator is our visually based neural network development system that can be trained to perform pattern matching, feature recognition or make predictions on noisy or fuzzy data. It has an easy to use interface and comes with example projects and prebuilt neural network plugins allowing you...


Platforms: Mac

This module works independently of the core search module.InstallationUnpack in your modules folder (usually /sites/all/modules/) and enable under Administer > Site Building > Modules. Key features "Fuzzy Search": - Mispellings and typos still provide relevant results. - External scoring factor...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

This script is an ease of use subclass of dict - rather then one that uses a lot of dict features. If your request item is in the dictionary (with a key that hashes the same) then it acts as a more or less normal dictionary. If on the other hand you are looking for a string that is similar to a...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.References:[1] Kasuba, T. (1993). "Simplified fuzzy ARTMAP." AI Expert, Nov., 18d-deOCt25.[2] Carpenter, G. A., Grossberg, S.,...


Platforms: Matlab

This package is created with the highly appreciated theoretical help and under the supervision of Prof. DSc. Ketty Peeva.Theoretical results and methods can be found in:1. B. De Baets, Analytical solution methods for fuzzy relational equations, in the series: Fundamentals of Fuzzy Sets, The...


Platforms: Matlab

The archive includes genfis4.m that generates Mamdani- and Sugeno-type FIS using CART algorithm to extract fuzzy rule information from data set. It is based mostly on Fuzzy Logic Toolbox but it has required to modify Toolbox's fuzzy rule building principle. As a result some original m-files was...


Platforms: Matlab

These files are obsolete. If you wish a more recent version download its from http://forja.rediris.es/frs/?group_id=644The methodology used for programing this utilities are described in the articles: * J.M. And?jar, A.J. Barrag?n, "A methodology to design stable nonlinear fuzzy control systems",...


Platforms: Matlab

This function segments (clusters) an image into object classes, and estimates and corrects for slow varying illumination artifacts. Estimates and corrects for bias field in 3D MRI, streak artifacts in CT, and illumination artifacts in color photos.It's an implementation of the paper of M.N. Ahmed...


Platforms: Matlab

Efficient implementation of K-medoids clustering methods. This method is similar to K-means but more robust.For more detail, please seehttp://en.wikipedia.org/wiki/K-medoidsInput data are assumed column vectors.tryload data;label=kmedoids(X,3);scatterd(X,3);


Platforms: Matlab

Nowadays due to the yearly multiplying data comes always the claim for useful methods and algorithms that make the processing of these data easier. For the solution of this problem data mining tools come into existence, to which the clustering algorithms belong. At the Department of Process...


Platforms: Matlab

This is a general purpose controller that I have built using the Fuzzy Logic Rules. You don't need to have any mathematical background in fuzzy logic to run this model.You don't need to have fuzzy logic toolbox to run it aswell.It contains both linear and a nonlinear examples. It also has a read...


Platforms: Matlab

Schwarz, Shoelson & Amphlett, Retailers Of Fine MATLAB Cloth Since 1987, proudly announce another piece of visionary software: FPAT - A Fuzzy Pattern DetectorDid you ever listen to a toddler talk?Easily your brain finds words amongst the noisy babble...Did you ever think of faulty DNA?Easily...


Platforms: Matlab

This function shall be used to evaluate the union or intersection between fuzzy sets or fuzzy relation under type2 category.For a complete understanding Please refer book by Dr. Jerry M. Mendel on:Uncertain Rule-Based Fuzzy Logic Systems:Introduction and New Directions


Platforms: Matlab

This program will assist the user to visualize the foot print of type2 fuzzy membership functions in 3 dimensional mode.


Platforms: Matlab

Compact C routine to evaluate a MATLAB Sugeno type fuzzy inference system (fis). Intended to run on a microcontroller based system with limited memory.


Platforms: Matlab

It is similar to the addmf function in the Fuzzy Logic Toolbox. Just that it replaces the existing membership function instead of adding a new one.


Platforms: Matlab