RSS 13 projects tagged "Clustering"

No download No website Updated 11 Dec 2009 BorderFlow

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Pop 15.62
Vit 39.92

BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph. The main advantage of the algorithm is that it does not need parametrization to compute results of high accuracy.

Download Website Updated 24 Aug 2013 ClodHopper

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Pop 31.97
Vit 15.54

ClodHopper is a Java library for high-performance clustering of numerical data. It contains clustering implementations such as K-Means, K-Means++, X-Means, G-Means, Fuzzy C-Means, Jarvis-Patrick, and various forms of hierarchical clustering. ClodHopper's clustering implementations take advantage of the host system's concurrent processing ability to speed clustering. The data structures are also very lean to conserve memory usage. ClodHopper is very extensible. If you are developing a new clustering algorithm, you may save yourself an enormous amount of work by extending a ClodHopper base class.

Download Website Updated 12 Sep 2009 CloudVPN

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Pop 276.53
Vit 4.18

CloudVPN is a secure decentralized mesh networking tool. It allows applications to use it as a mesh transport layer for packet routing, easily creating mesh ethernet VPN, secured audio/video broadcasting or communication channels, etc. It can create secured networks with special or weird topologies, so it's very easy to create connection schemes with clustered/decentralized servers, topologies with better throughput, ring-like topologies for failover, long-line for passing through many routes, or tree topology for optimizing inter-server bandwidth needs.

Download Website Updated 16 Sep 2009 Crash Dummy

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Pop 36.99
Vit 1.00

Crash Dummy is a Java Web application to help IT professionals set up Java application server environments. It has several features to help make this easier, including simulating failures and diagnostics. Crash Dummy is particularly helpful for setting up complex clustered environments and monitoring infrastructure.

Download Website Updated 28 Jun 2013 HWSD

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Pop 77.14
Vit 4.52

HWSD is a daemon and library for the discovery and announcement of hardware resources using ZeroConf. It enables auto-configuration of ad-hoc GPU clusters and multi-GPU machines through multi-platform GPU and network device discovery.

Download Website Updated 10 Jul 2013 Hados

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Pop 62.65
Vit 1.02

Hados stores files in a cluster of servers. Its goal is to handle high availability by storing copies of the same file on several nodes. It provides RESTFUL APIs to easily store, check, or retrieve files. Using the cluster APIs, you can retrieve files from whichever node hosts them. To avoid any single point of failure, it is possible to apply a request to any node of the cluster; there is no master node.

Download Website Updated 04 Jul 2011 K-tree

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Pop 75.30
Vit 1.96

K-tree provides a scalable approach to clustering by combining the B+-tree and k-means algorithms. Clustering can be used to solve problems in signal processing, machine learning, and other contexts. It has recently been used to solve document clustering problems on the Wikipedia collection.

No download No website Updated 02 Jun 2010 Leemba

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Pop 15.81
Vit 37.70

Leemba is a new style of application monitor built from the ground up for Terracotta clusters, scalability, and easy online configuration. Leemba is for administrators who have better things to do.

Download Website Updated 07 Oct 2013 Linux Cluster Management Console

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Pop 315.43
Vit 21.11

The Linux Cluster Management Console (LCMC) is an application that eases the burden of managing your Corosync/Heartbeat, Pacemaker, and DRBD-based cluster systems. It does not require any kind of agent or client code on the cluster nodes, instead using SSH.

Download Website Updated 07 Jan 2014 MLPACK

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Pop 98.80
Vit 2.62

MLPACK is a C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression and least-angle regression.

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