Search Results for "k-stor"
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Showing 18 open source projects for "k-stor"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Density-ratio based clustering
Discovering clusters with varying densities
...An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571 -
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . Since this software is licensed... -
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QueueSimulator
Simulator of G/G/k queue systems used in computer networks.
QueueSimulator is a free software which aims to simulate primarily G/G/k queueing systems that are used in computer networks. But it can be used to simulate practically any stable queue system. -
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Trowel - Sequencing Error Corrector
Error Correction Module for Illumina Sequencing Reads
Trowel is an error correction module for Illumina sequencing reads, which is based on the k-mer spectrum approach. This tool is the first tool that uses a quality threshold instead of a coverage cutoff in order to extract trusted k-mers. This tool guarantees high accuracy and speed. This tool has been developed since 21. Jan. 2013 by Euncheon Lim in Prof. Dr. Detlef Weigel's Lab in Max-Planck Institute for Developmental Biology. -
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SummaRE
Konversi dini nilai rapor untuk tingkat SMA pengguna K-13.
SummaRE adalah sebuah aplikasi dini yang berfungsi untuk mengonversi nilai kecil (skala 1 - 4) menjadi nilai besar (1 - 100), serta mengukur kenaikan - kenaikan yang terjadi tiap semesternya untuk tiap mata pelajaran. Tersedia untuk 3 (tiga) peminatan, Matematika dan Ilmu - Ilmu Alam (MIA), Ilmu - Ilmu Sosial (IIS), dan Ilmu - Ilmu Bahasa (IIB). -
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Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. ... -
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An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
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Weka4OC GUI for Overlapping clustering
Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA
This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups. -
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K Boinc Client
KBC is a UI for the BOINC Client of the Berkeley University
K Boinc Client is a UI for the BOINC client of the Berkeley University. The program is oriented in look and feel of the Boinc manager based on wxWidgets. K Boinc client offers a KDE4 application, with a better integration into the KDE desktop. -
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Niah (Statistical Disclosure Control)
Niah supports k-anonymity statistical disclosure control assessments
Niah is a simple java tool for use in statistical disclosure control risk assessments. It implements the k-anonymity model of disclosure risk for data in csv in format. This work was developed as part of a PhD project at the University of Glasgow and during an internship with the Scottish Government. -
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COS - Parallel Community Detection
COS is a free, opensource parallel k-clique community detection method
Clique percolation method On Steroids (COS) enable k-clique communities to be detected, in parallel, from large-scale networks. Its low memory requirements, together with its linear speedup, make it really efficient, even on dense, highly interconnected networks. COS should be the method of choice for k-clique community detection aiming at very high performance and low resource requirements. -
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MuLaViTo
A framework for the visualization of multi-layer networks
MuLaViTo is a multi-layer visualization framework which allows to visualize relations between multiple graphs in derived applications. Moreover, it provides helpful means like k-shortest path algorithms, running algorithms in a separate thread, ... -
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K people is a software platform capable of integrating with enterprise systems. It enables workers to improve productivity, while giving management the the means to plan and monitor activity.
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This is a variant of k-means algorithm which allows datas to belong to several clusters instead of just one.
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Cloudster is a generic and parallel implementation of the k-means algorithm. It is written in C# and uses the Windows Azure environment.
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K-automaton is a new parsing (syntactic analysis) machine isomorphous to language. Implemented in Java. Can generate Java code from grammars described in EBNF.
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clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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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 Hierarchical Clustering (Simple and Complete Link).
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