Search Results for "k means" - Page 2
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Showing 56 open source projects for "k means"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Repfabric is a customer relationship management (CRM) software designed specifically for multi-line sales teams (i.e. reps, distributors, wholesalers, dealers, and manufacturers). It streamlines and simplifies the sales process by providing deep integration with email, contacts, calendars, and deal tracking. The platform enables users to track commissions from CRM to sale, make updates directly from mobile devices, and document sales calls using voice-to-text features.
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The"Amip" GUI is intended to provide code examples of the methods proposed in: "Unsupervised image segmentation for microarray spots with irregular contours and inner holes" authors: Bogdan Belean, Monica Borda, Jörg Ackermann, Ina Koch and Ovidiu Balacescu Journal: BMC Bioinformatics, 2015, 16:412 https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0842-3 PDE were used for grid alignment, whereas autocorrelation driven PDE and k-means clustering were used...
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Choqok ( pronounced: tʃœˈʁʊk ) is a Free/Open Source micro-blogging client for K Desktop Environment. The name comes from an ancient Persian word, means Sparrow! Currently supports Twitter.com, Identi.ca and opendesktop.org services.
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This project involves implementation and testing of sampling based algorithms the k-means clustering.
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UnsupervisedPy
unsupervised learning algorithms for python
This is a library for python containing popular machine learning algorithms under the unsupervised learning framework. Algorithms implemented up to now: K-Means Intelligent K-Means Weighted K-Means Minkowski Weighted K-Means Intelligent Minkowski Weighted K-Means Partition Around Medoids (PAM) Build (initialization for PAM) Minkowski Weighted PAM (with and without Build) Ward Method -
Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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fprn
FPrn: UNIX/Linux fiscal printers manager with networked remote control
FPrn: UNIX/Linux fiscal printers manager with networked remote control and PHP interface add-on. This project features nearly full and tested support for russian Shtrih-FR-K fiscal printer. Almost done driver for Ukrainian Maria 301. The whole approach is to allow easy addition of new driver modules for other models. Daemon feature simple and effective network protocol to allow remote control and, in first place, working interface with PHP that provides means to build intranet based... -
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Machine learning library that performs several clustering algorithms (k-means, incremental k-means, DBSCAN, incremental DBSCAN, mitosis, incremental mitosis, mean shift and SHC) and performs several semi-supervised machine learning approaches (self-learning and co-training). --------------------------------------------------------------------------- To run the library, just double click on the jar file. Also, you can use the following command line: Java -Xms1500m -jar "ML Library.jar...
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ClusterMX
The ClusterMX program implements various clustering algorithms
The ClusterMX program implements various clustering algorithms including 1) K-Means clustering optimized by random walks; 2) Weighted K-Means (applying force filed to the multidimensional clustering space); 3) EM Clustering Algorithm; 4) Multi-Model Mean Shift Clustering with Random Sampling; 5) Unsupervised K-Wishart clustering. -
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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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drvq
dimensionality-recursive vector quantization
drvq is a C++ library implementation of dimensionality-recursive vector quantization, a fast vector quantization method in high-dimensional Euclidean spaces under arbitrary data distributions. It is an approximation of k-means that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter... -
Textellent's business texting solution makes designing, managing, measuring, and integrating SMS and MMS campaigns easy. Whether used for customer service, sales, or marketing, Textellent supports your customer journey with an easy-to-use service that text-enables local business lines and serves businesses of any size. Robust scheduling and appointment reminders are also available, as are keywords and shortcodes for easy opt-in programs with TCPA compliance supported by AI.
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Multi-Pipeline Gene Expression Analysis
Helps users to determine the optimal gene expression analysis pipeline
.... Summarization (mas5, rma, farms, DFW) 4. Gene Selection (SAM, ANOVA) Then executes K-means clustering on the significant genes, and evaluates the pipelines using the cumulative distribution funciton of the GO term co-clustering p-values. From this, the optimal microarray data workflow is chosen. Input files are CEL files along with a CLM file, which is a tab delimited text file containing one scan, sample and class per line. -
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Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
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Hierachical_DNAcoder
An Hierachical Approach to Multi-Reference Genome compression
.... To increase the exact aligning rate, we also realign the approximately mapped and unmapped reads by changing the reference sequence or shortening the read length. Meanwhile, we further the study using “lossy” quality values through k-means clustering scheme and find its minute effect on downstream applications. The proposed method has achieved compression ratios from 0.5 to 0.65, which corresponds to space savings of 35%-50%, on experimental datasets. -
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LAVA for AFM
Lloyd's Algorithm-based Volumetric Analysis for AFM Images
This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image... -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform... -
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AGNES Cluster identification
R script to run several clustering algorithms using morphometric data
The R script was written to perform and compare several versions of cluster algorithms as described in: Seifert, Ritz & Csősz (2013) published in Myrmecological News. The aim is to identify (cryptic) taxa based on numeric data on morphology. The first step is a Linear Discriminant Analysis (LDA) based on subunits (ant nests) independent of any taxon information. Following analysis are Non-Metric Multidimensional Scaling (NMDS) and k-Means clustering. The NMDS scores are also summarized using K... -
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NEural SOrter
a tool for offline electrophysiological recording analysis
... recordings - view your recordings as superimposed waveforms or as waveforms in time - use PCA and Height vs Width analysis to extract waveform features - use Vectorial Quantization or K-Means anaysis to sort the waveforms (spikes) classify spikes as diferent units - use templates to sort spikes - save the analysis results as NeuroShare format Developers: Daniel de Santos Sierra Cristina Soto Sanchez -
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SRM2 Sound Recognizer Mobile 2
A Sound Recognition Framework developed to J2ME plataform
... - Vector quantization using the k-means algorithm - Uses the algorithm Forward - Uses the algorithm Backward - Uses the Viterbi algorithm - Uses the Baum-Welch algorithm for training - Has features import and export data Further information is on Gaita 2012. -
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JaCHMM
Java Conditioned Hidden Markov Model library
The JaCHMM - the Java Conditioned Hidden Markov Model library - is a complete implementation of a CHMM in Java ready to use either on command line or as a module. The JaCHMM is licenced under the BSD licence. It gives an implementation of the Viterbi, Forward-Backward, Baum-Welch and K-Means algorithms, all adapted for the CHMM. JaCHMM is based on the JaHMM and also designed to achieve reasonable performance without making the code unreadable. Consequently, it offers a good way of applying... -
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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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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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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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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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