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Pajek Clustering software
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Pajek Clustering

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Added: July 15, 2010 | Visits: 864

MySQL High Availability clustering MySQL High Availability clustering is a set of scripts and programs that provide a high availability database cluster using MySQL replication. MySQL High Availability clustering is transparent to client applications, as the cluster uses a shared logical IP to provide the service. Whats New in... Platforms: *nix

License: Freeware Size: 7.17 KB Download (84): MySQL High Availability clustering Download

Added: April 26, 2013 | Visits: 188

k-Means Projective Clustering An implementation of "k-Means Projective Clustering" by P. K. Agarwal and N. H. Mustafa.This method of clustering is based on finding few subspaces such that each point is close to a subspace. Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (21): k-Means Projective Clustering Download

Added: August 14, 2008 | Visits: 620

70-223 MCSE Windows 2000 Clustering Serv PrepKit MCSE-2000 70-223, Windows 2000 Clustering Service is an interactive software application that helps you learn, tracks your progress, identifies areas for improvements and simulates the actual exam. This PrepKit contains 3 interactive practice tests with over 92 challenging questions... Platforms: Windows

License: Shareware Cost: $29.99 USD Size: 8.44 KB Download (73): 70-223 MCSE Windows 2000 Clustering Serv Download

Released: October 08, 2008  |  Added: October 31, 2008 | Visits: 1.269

AXIGEN Mail Server Service Provider Edition 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

License: Shareware Cost: $1550.00 USD Size: 16.07 MB Download (86): AXIGEN Mail Server Service Provider Edition Download

Added: March 27, 2010 | Visits: 1.138

Bio::Tools::Run::TribeMCL 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 =... Platforms: *nix

License: Freeware Size: 829.44 KB Download (168): Bio::Tools::Run::TribeMCL Download

Added: February 01, 2010 | Visits: 845

HA/FST 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... Platforms: *nix

License: Freeware Size: 2.5 MB Download (77): HA/FST Download

Released: October 17, 2012  |  Added: October 17, 2012 | Visits: 246

Clustering demo This is educational software whose purpose it is to clarify the workings of different clustering algorithms by visualising the clustering process in 2D space. This make many possible problems and advantages very clear. Platforms: Windows, Mac, Linux

License: Freeware Size: 81.2 KB Download (27): Clustering demo Download

Released: December 09, 2012  |  Added: December 09, 2012 | Visits: 274

MATLAB spectral clustering package A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method. Platforms: Windows, Mac, BSD

License: Freeware Size: 15.08 MB Download (29): MATLAB spectral clustering package Download

Released: July 11, 2012  |  Added: July 11, 2012 | Visits: 232

OpenRDS - Java clustering framework OpenRDS (Open Requisition Distribution System) is a framework written in Java/RMI conceived for making requisition-based distributed systems (clustering) easy to develop/manage. It's design emphasizes robustness, simplicity and scalability. Platforms: Windows, Mac, Linux

License: Freeware Size: 246.3 KB Download (27): OpenRDS - Java clustering framework Download

Simulation of Ant Based Clustering Algorithm Based on Cemetery Organization (Lumer&Faeita Method) Many ant species exhibit the behavior of clustering corpses to form cemeteries. Each ant seems to behave individually, moving randomly in space while picking up or depositing (dropping) corpses. The decision to pick up or drop a corpse is based on local information of the antd-deOaos current... Platforms: Matlab


Added: July 12, 2013 | Visits: 200

Iris data set clustering Iris data set clustering using partitional algorithm. Concepts like loading text document and plotting of 4 Dimensional data with the fourth dimension as the intensity of colour of the plot. I used K means algorithm to update the centres from where we calculate the euclidean distance of the other... Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 1.06 MB Download (23): Iris data set clustering Download

Added: June 14, 2013 | Visits: 230

K-medoids 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

License: Shareware Cost: $0.00 USD Size: 20.48 KB Download (20): K-medoids Download

Added: April 29, 2013 | Visits: 186

Adaptive Affinity Propagation clustering Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert Dueck. 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. AP has two... Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 30.72 KB Download (18): Adaptive Affinity Propagation clustering Download

Added: September 01, 2013 | Visits: 165

High Dimensional Data Clustering (HDDC) The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering,... Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 51.2 KB Download (18): High Dimensional Data Clustering (HDDC) Download

Added: May 07, 2013 | Visits: 143

kmeans clustering 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... Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 30.72 KB Download (18): kmeans clustering Download

Fast Affinity Propagation Clustering under Given Number of Clusters 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

License: Shareware Cost: $0.00 USD Size: 30.72 KB Download (18): Fast Affinity Propagation Clustering under Given Number of Clusters Download

Added: April 16, 2013 | Visits: 186

Semi-supervised Affinity Propagation clustering 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

License: Shareware Cost: $0.00 USD Size: 20.48 KB Download (18): Semi-supervised Affinity Propagation clustering Download

Clustering data and searching optimal cutoff employing VIF criterion 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

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Clustering data and searching optimal cutoff employing VIF criterion Download

Added: June 20, 2013 | Visits: 153

Efficient K-Means Clustering using JIT 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

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Efficient K-Means Clustering using JIT Download

Added: August 07, 2013 | Visits: 277

Clustering results measurement 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

License: Shareware Cost: $0.00 USD Size: 10 KB Download (21): Clustering results measurement Download

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