Search results for "module:Algorithm::Cluster"
Algorithm::Cluster  Perl interface to the C Clustering Library.
This module is an interface to the C Clustering Library, a general purpose library implementing functions for hierarchical clustering (pairwise simple, complete, average, and centroid linkage), along with kmeans and kmedians clustering, and 2D self...
MDEHOON/AlgorithmCluster1.59  30 Aug 2019 12:39:17 UTC
Algorithm::Cluster::Thresh  Adds thresholding to hierarchical clustering of Algorithm::Cluster
This is a small helper package for Algorithm::Cluster, but not an official part of it. That manual can be found here: http://cpansearch.perl.org/src/MDEHOON/AlgorithmCluster1.48/doc/cluster.pdf This package adds a simple method "$tree"cutthresh(5....
CADAVIS/AlgorithmClusterThresh0.05  29 Jun 2011 09:00:10 UTC
Text::Mining::Algorithm::Cluster  Perl Tools for Text Mining
ROGERHALL/TextMining0.08

15 Mar 2009 17:06:03 UTC
Algorithm::ClusterPoints  find clusters inside a set of points
This module implements an algorithm to find clusters of points inside a set. Clusters are defined as sets of points where it is possible to stablish a way between any pair of points moving from point to point inside the cluster in steps smaller than ...
SALVA/AlgorithmClusterPoints0.08  10 Jul 2008 13:24:27 UTC
Algorithm::MCL  perl module implementing Markov Cluster Algorithm using PDL
This module is perl implementation of Markov Cluster Algorithm (MCL) based on Perl Data Language (PDL). MCL is algorithm of finding clusters of vertices in graph. More information about MCL can be found at <http://micans.org/mcl/>. There is also perl...
PINKHASN/AlgorithmMCL0.004  03 Mar 2012 20:55:45 UTC
Algorithm::KMeans  for clustering multidimensional data
Clustering with KMeans takes place iteratively and involves two steps: 1) assignment of data samples to clusters on the basis of how far the data samples are from the cluster centers; and 2) Recalculation of the cluster centers (and cluster covarian...
AVIKAK/AlgorithmKMeans2.05  12 Dec 2014 01:48:47 UTC
Algorithm::DBSCAN  (ALFA code) Perl implementation of the DBSCAN (DensityBased Spatial Clustering of Applications with Noise) algorithm
MTOMA/AlgorithmDBSCAN0.07

05 Mar 2016 06:29:40 UTC
Algorithm::Kmeanspp  perl implementation of Kmeans++
Algorithm::Kmeanspp is a perl implementation of Kmeans++....
FUJISAWA/AlgorithmKmeanspp0.03  16 Oct 2009 02:55:01 UTC
Algorithm::FuzzyCmeans  perl implementation of Fuzzy cmeans clustering
Algorithm::FuzzyCmeans is a perl implementation of Fuzzy cmeans clustering....
FUJISAWA/AlgorithmFuzzyCmeans0.02  16 Oct 2009 02:54:50 UTC
Algorithm::KernelKMeans  Weighted kernel kmeans clusterer
"Algorithm::KernelKMeans" provides weighted kernel kmeans vector clusterer. Note that this is a very early release. All APIs may be changed incompatibly. IMPLEMENTATION This class is just a placeholder. Implementation code is in other class and this...
SEKIA/AlgorithmKernelKMeans0.03  10 Nov 2010 15:16:15 UTC
Algorithm::DistanceMatrix  Compute distance matrix for any distance metric
This is a small helper package for Algorithm::Cluster. That module provides many facilities for clustering data. It also provides a "distancematrix" function, but assumes tabular data, which is the standard for gene expression data. If your data is t...
CADAVIS/AlgorithmDistanceMatrix0.04  27 Jun 2011 07:40:26 UTC
Algorithm::KernelKMeans::Util
This module provides some utility functions suitable to use with "Algorithm::KernelKMeans"....
SEKIA/AlgorithmKernelKMeans0.03  10 Nov 2010 15:16:15 UTC
Algorithm::Paxos::Role::Learner  A Learner role for the Paxos algorithm
From Wikipedia <http://en.wikipedia.org/wiki/Paxos_algorithm> Learners act as the replication factor for the protocol. Once a Client request has been agreed on by the Acceptors, the Learner may take action (i.e.: execute the request and send a respon...
PERIGRIN/AlgorithmPaxos0.001  03 Jan 2012 19:20:37 UTC
Algorithm::Paxos::Role::Proposer  A Proposer role for the Paxos algorithm
From Wikipedia <http://en.wikipedia.org/wiki/Paxos_algorithm> A Proposer advocates a client request, attempting to convince the Acceptors to agree on it, and acting as a coordinator to move the protocol forward when conflicts occur....
PERIGRIN/AlgorithmPaxos0.001  03 Jan 2012 19:20:37 UTC
Algorithm::ExpectationMaximization  A Perl module for clustering numerical multidimensional data with the ExpectationMaximization algorithm.
Algorithm::ExpectationMaximization is a *perl5* module for the ExpectationMaximization (EM) method of clustering numerical data that lends itself to modeling as a Gaussian mixture. Since the module is entirely in Perl (in the sense that it is not a ...
AVIKAK/AlgorithmExpectationMaximization1.22  11 Dec 2014 15:38:37 UTC
Algorithm::LinearManifoldDataClusterer  for clustering data that resides on a lowdimensional manifold in a highdimensional measurement space
If you are new to machine learning and data clustering on linear and nonlinear manifolds, your first question is likely to be: What is a manifold? A manifold is a space that is locally Euclidean. And a space is locally Euclidean if it allows for the ...
AVIKAK/AlgorithmLinearManifoldDataClusterer1.01  09 Jan 2015 18:39:55 UTC