Fuzzy Clustering

Here we have an unknown function but we can have every value of function respect to every input. so there I used a fuzzy approximation method Ito approximate the function, here I used sin function to compare answers.there is a function "isinrange" to find membership values.

This is a very fast implementation of the original kmeans clustering algorithm without any fancy acceleration technique, such as kd-tree indexing and triangular inequation. (actually the fastest matlab implementation as far as I can tell.)This code is as vectorized as possible. Yet it is very...

The searching process is necessary for the Affinity propagation clustering (AP) when one demands a clustering solution under given number of clusters. The Fast AP uses multi-grid searching to reduce the calling times of AP, and improves the upper bound of preference parameter to reduce the...


Platforms: Matlab

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and DelbertDueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed, general applicability, and suitable for large number of clusters....


Platforms: Matlab

Performs hierarchical clustering of data using specified method andseraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)".Namely, it searches cutoff where groups...


Platforms: Matlab

This is a tool for K-means clustering. After trying several different ways to program, I got the conclusion that using simple loops to perform distance calculation and comparison is most efficient and accurate because of the JIT acceleration in MATLAB.The code is very simple and well documented,...


Platforms: Matlab

Measure percentage of Accuracy and the Rand index of clustering resultsThe number of class must equal to the number clusterOutput Acc = Accuracy of clustering results rand_index = Rand's Index, measure an agreement of the clustering results match = 2xk matrix which are the best match of the...


Platforms: Matlab

A new soft clustering algorithm is presented (Clustering through Optimal Bayesian Classification). The algorithm does not depend on random initializations, and it contains a native metric to select the optimal number of clusters.The clustering algorithm minimizes the log-Bayesian risk...


Platforms: Matlab

In this work we present a generalization of partitional clustering aiming at the inclusion into the clustering process of both distance and direction of the point of observation towards the dataset. This is done by incorporating a new term in the objective function, accounting for the distance...


Platforms: Matlab

SpectralClustering performs one of three spectral clustering algorithms (Unnormalized, Shi & Malik, Jordan & Weiss) on a given adjacency matrix. SimGraph creates such a matrix out of a given set of data and a given distance function.The code has been optimized to be both fast and memory...


Platforms: Matlab

The code for the spectral graph clustering concepts presented in the following papers is implemented for tutorial purpose:1. Ng, A., Jordan, M., and Weiss, Y. (2002). On spectral clustering: analysis and an algorithm. In T. Dietterich, S. Becker, and Z. Ghahramani (Eds.), Advances in Neural...


Platforms: Matlab

The enclosed function implements nonlinear fuzzy robust PCA algorithmintroduced inP. Luukka, 'A New Nonlinear Fuzzy Robust PCA Algorithm and Similarityclassifier in classification of medical data sets',International Journal of Fuzzy Systems, Vol. 13, No. 3, September 2011pp. 153-162.


Platforms: Matlab

QT clustering algorithm as described in:Heyer, L. J., Kruglyak, S., Yooseph, S. (1999). Exploring expression data: Identification and analysis of coexpressed genes. Genome Research 9,...


Platforms: Matlab

Fuzzy SEO Booster increases your sites search engine positions for long tail keywords automatically!Here is how it works: When someone finds your site using a long tail keyword combination not already on that page, it records it, and adds it to the page in a widget box! Think of it as an auto...


Platforms: PHP

Document clustering project is a data mining suite to cluster a document set. This set of tools was implemented from a series of papers: "Clustering Web Pages Semantically using Combinatorial Topology", "Data mining using granular computing", and "A fast association rule algorithm based on bitmap...


Platforms: *nix

This wonderful Excel plugin will polish off all typos and misprints from your Excel workbooks. It quickly finds and removes partial, or fuzzy duplicates, typos, misspelled words and similar records within a list or a selected range. Fuzzy Duplicates Finder searches for duplicates that differ in 1...


Platforms: Windows

inspector text is an Add-In for Microsoft Excel that adds powerful worksheet formula functions for working with text in worksheet cells, including search & replace, and fuzzy matching. inspector text's search & replace functions are vastly more powerful and useful than the search & replace...


Platforms: Windows

A carrier class messaging solution with outstanding technical support, AXIGEN Service Provider Edition provides speed, security and reliability. Its failsafe, intelligent storage system helps you avoid any interruption of service or loss of data. It offers smooth, automatic migration from any...


Platforms: Windows, *nix

Microsoft Excel tool that evaluates the contents of two cells and gives a probability of a match; a value between 0 and 1 is returned. Easy to use custom function works just like any other Excel formula. Works with Excel 2000 2002 2000 2002 2003 2007.


Platforms: Windows

AI::FuzzyInference is a Perl module to implement a Fuzzy Inference System. SYNOPSYS use AI::FuzzyInference; my $s = new AI::FuzzyInference; $s->inVar(service, 0, 10, poor => [0, 0, 2, 1, 4, 0], good => [2, 0, 4, 1, 6, 0], excellent => [4, 0, 6, 1, 8, 0], amazing => [6, 0, 8, 1,...


Platforms: *nix