A hierarchicalclustering package for Scipy. hcluster is a library that provides Python functions for hierarchical clustering.The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy.
hcluster-0.2.0.tar.gz
Damian Eads
Freeware (Free)
440 Kb
Linux
ClusterLib was designed as an Open Source library that can be used for agglomerative hierarchicalclustering.ClusterLib can work with arrays of Java's Double as well as with other custom data types. In principle, any class implementing the. ...
clusterlib-0.1.1.jar
Niels Ott
Freeware (Free)
Windows All
brCluster is a class library, written in java, that implements generic clustering algorithms carefully designed to allow its aplication in any kind of data. The algorithms implemented are K-means and HierarchicalClustering (Simple and Complete. ...
brCluster
brcluster
Freeware (Free)
3.63 Mb
Windows; Mac; Linux
Efficient analysis of complex networks using hierarchicalclustering.If you use Jerarca, please cite:Aldecoa R, Mari足n I (2010)Jerarca: Efficient analysis of complex networks using hierarchical clusteringPLoS ONE 5(7):. ...
sample_networks.zip
jerarca
Freeware (Free)
26 Kb
N/A
A code in C++ for identifying clusters in a multi-dimensional space. It computes a locally adaptive metric so as to maximize the information content from the data and then implements density based hierarchicalclustering algorithm.
EnLink
Sanjib Sharma
Freeware (Free)
Windows
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. ...
spectralclustering-1.1.zip
alumni
Freeware (Free)
15.08 Mb
Windows; BSD; Mac
In this project, an architecture involving several clustering techniques has to be built like complete-link clustering, group-average agglomerative clustering and centroid clustering, spectral clustering.
Hierarchical Text Clustering
Abhishek Gupta
Freeware (Free)
Windows
The Matlab toolbox Gait-CAD is designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and. ...
gaitcad16_german.zip
gait-cad
Freeware (Free)
13.12 Mb
N/A
BioSig for Octave and Matlab 2.50 provides you with a useful and functional.
biosig4octmat-2.50.zip
Alois Schloegl
Freeware (Free)
6.8 Mb
Windows All
Software developed under MATLAB R14 environment.It's aim is to make the modeling of bacterial inactivation system and adjust a simulator to obtain new data of the experiment or validate the one that has been obtained at the. ...
Bacterial_Inact_Sys_MATLAB.zip
bactinactsys
Freeware (Free)
27 Kb
N/A
Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also:. ...
surprise_toolkit0.15b.rar
surprise-mltk
Freeware (Free)
42 Kb
Windows; Mac; Linux
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. ...
clusteringdemo_2-0-2_bin.zip
clusteringdemo
Freeware (Free)
82 Kb
Windows; Mac; Linux
Currently the project only implements the algorithm Clicks for Clustering. We have plans to join other algorithms such as K-means. The project is developed in Java. Just add the jar file in your project and with few lines of code you will have a powerful tool for Clustering / Text mining.
Nov 06, 2017 K-means-Clustering. K-means Clustering algorithm in Matlab. This is an implementation of the famous data-mining algorithm, K-means Clustering in Matlab. Source code is provided along with a seeds dataset for evaluation. You can also create a.arff format of the dataset to use on data-mining software Weka and make a comparison with this.
Dec 25, 2017 kMeans. K-means (unsupervised learning/clustering algorithm) implemented in MATLAB. Cluster2DVisualization.m is a script that generates random (uniformly) distributed data points, runs both kMeans.m and MATLAB's built-in kmeans function, measures and compares their performance (i.e. Computing time) and visualizes the final clusters and the distribution of the data points in the clusters.
Related:Agglomerative Hierarchical Clustering - Hierarchical Clustering Explorer - Hierarchical Clustering Methods - Hierarchical Clustering Software - K Means Clustering