Algorithm::Merge - Three-way merge and diff
22 Mar 2007 16:14:36 UTC
Algorithm::C3 - A module for merging hierarchies using the C3 algorithm
This module implements the C3 algorithm. I have broken this out into it's own module because I found myself copying and pasting it way too often for various needs. Most of the uses I have for C3 revolve around class building and metamodels, but it co...HAARG/Algorithm-C3-0.11 - 10 Nov 2020 17:14:34 UTC
Algorithm::AdaBoost - AdaBoost learning algorithm
AdaBoost is a machine learning algorithm proposed by Freund and Schapire. Using an arbitrary binary classification algorithm, The algorithm can construct a more accurate classifier (i.e. it is a meta-algorithm)....SEKIA/Algorithm-AdaBoost-0.01 - 20 Oct 2012 08:54:18 UTC
Algorithm::SkipList - Perl implementation of skip lists
This is an implementation of *skip lists* in Perl. Skip lists are similar to linked lists, except that they have random links at various *levels* that allow searches to skip over sections of the list, like so: 4 +---------------------------> +-------...RRWO/Algorithm-SkipList-1.02 - 04 Jan 2005 23:19:11 UTC
IDS::Algorithm::MM - Learn or test using a first-order Markov Model (MM).
Someday more will be here. Ideally, we would be using the algorithm from stolcke94bestfirst. Constructing a DFA rather than a NFA in effect has performed most of the state merging that stolcke93hidden do. Consider also a java or C/C++ implementaion: ...INGHAM/IDS-Algorithms-1.02 - 09 Apr 2007 20:01:51 UTC
Algorithm::LibLinear - A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.
Algorithm::LibLinear is an XS module that provides features of LIBLINEAR, a fast C library for classification and regression. Current version is based on LIBLINEAR 2.44, released on March 17, 2022....SEKIA/Algorithm-LibLinear-0.24 - 04 Apr 2022 14:57:44 UTC
Algorithm::BloomFilter - A simple bloom filter data structure
This module implements a simple bloom filter in C/XS....SMUELLER/Algorithm-BloomFilter-0.02 - 13 Jun 2015 20:42:52 UTC
Algorithm::HyperLogLog - Implementation of the HyperLogLog cardinality estimation algorithm
This module is implementation of the HyperLogLog algorithm. HyperLogLog is an algorithm for estimating the cardinality of a set....HIDEAKIO/Algorithm-HyperLogLog-0.24 - 22 Jun 2017 17:48:21 UTC
Algorithm::Networksort - Create Sorting Networks.
This module will create sorting networks, a sequence of comparisons that do not depend upon the results of prior comparisons. Since the sequences and their order never change, they can be very useful if deployed in hardware, or if used in software wi...JGAMBLE/Algorithm-Networksort-2.02 - 21 Jun 2018 21:56:23 UTC
Algorithm::LineSegments - Piecewise linear function approximation
This module takes discrete data points like time series data and computes a piecewise linear function, line segments, approximating them. It does this by merging groups of adjacent points into lines, always picking the pair that produces the smallest...BJOERN/Algorithm-LineSegments-0.04 - 20 Mar 2014 18:46:35 UTC
Algorithm::VectorClocks - Generating a partial ordering of events in a distributed system
Description, shamelessly stolen from Wikipedia: Vector Clocks is an algorithm for generating a partial ordering of events in a distributed system. Just as in Lamport timestamps, interprocess messages contain the state of the sending process's logical...TAKERU/Algorithm-VectorClocks-v0.1.2 - 15 May 2010 14:06:13 UTC
Algorithm::KernelKMeans - Weighted kernel k-means clusterer
"Algorithm::KernelKMeans" provides weighted kernel k-means 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/Algorithm-KernelKMeans-0.03 - 10 Nov 2010 15:16:15 UTC
Algorithm::Functional::BFS - A functional approach to the breadth-first search algorithm.
06 Jul 2012 04:55:18 UTC
This class is a pure-Perl implementation of weighted kernel k-means algorithm. Algorithm::KernelKMeans inherits this class by default....SEKIA/Algorithm-KernelKMeans-0.03 - 10 Nov 2010 15:16:15 UTC
Algorithm::Numerical::Sample - Draw samples from a set
This package gives two methods to draw fair, random samples from a set. There is a procedural interface for the case the entire set is known, and an object oriented interface when the a set with unknown size has to be processed. A: "sample (set => AR...ABIGAIL/Algorithm-Numerical-Sample-2010011201 - 12 Jan 2010 14:55:10 UTC
Algorithm::Numerical::Shuffle - Shuffle a list.
"shuffle" performs a one pass, fair shuffle on a list. If the list is passed as a reference to an array, the shuffle is done in situ. The subroutine returns the list in list context, and a reference to the list in scalar context....ABIGAIL/Algorithm-Numerical-Shuffle-2009110301 - 03 Nov 2009 11:47:20 UTC
Algorithm::Graphs::TransitiveClosure - Calculate the transitive closure.
This is an implementation of the well known *Floyd-Warshall* algorithm. [1,2] The subroutine "floyd_warshall" takes a directed graph, and calculates its transitive closure, which will be returned. The given graph is actually modified, so be sure to p...ABIGAIL/Algorithm-Graphs-TransitiveClosure-2009110901 - 09 Nov 2009 22:52:55 UTC
Algorithm::LinearManifoldDataClusterer - for clustering data that resides on a low-dimensional manifold in a high-dimensional 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/Algorithm-LinearManifoldDataClusterer-1.01 - 09 Jan 2015 18:39:55 UTC