Search Results for "clustering algorithm matlab" - Page 5
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Showing 182 open source projects for "clustering algorithm matlab"
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LWPR
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu Vijayakumar... -
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SubPatCNV
Approximate association pattern mining algorithm for CNVs.
... samples?". SubPatCNV is the implementation of a variation of approximate association pattern mining algorithm under a spatial constraint on the positional CNV probe features. The implementation scales to high-density array data with hundreds of thousands features. -
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A community repository to develop Commodity Grid (CoG) Software for the access of Grids, through high level interfaces. The main repository is maintained at http://www.cogkit.org
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VisionLoc
Vision algorithm for the localization of robots in 2D
Vision algorithm for the localization of robots in 2D. The library can be called from a C, C++ or Matlab code. -
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SIMBUCA (before called Simonion) is a simulation package that simulates the motion of charged particles under the influence of Electric and/or Magnetic fields. What makes Simbuca unique is that you can choose to calculate the Coulomb interaction between ions on a Graphics cards which is much faster than calculating this on the conventional CPU (reducing the simulation time from years to days). Therefore Simbuca has been applied in various projects which required to understand the...
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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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Matlab Community Detection Toolbox
CDTB is a MATLAB toolbox which performs Community Detection
We present the Community Detection Toolbox (CDTB), a MATLAB toolbox which can be used to perform community detection. The CDTB contains several functions from the following categories. 1. graph generators; 2. clustering algorithms; 2. cluster number selection functions; 4. clustering evaluation functions. Furthermore, CDTB is designed in a parametric manner so that the user can add his own functions and extensions. The CDTB can be used in at least three ways. The user can employ... -
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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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MIT SPHERES Simulation (Release)
MIT's spacecraft simulator for control algorithm development
The SPHERES simulation is designed to support most software-related aspects of single- and multi-satellite SPHERES operations. The simulation code base consists of simulated versions of most of the SPHERES core flight code and additional code that simulates dynamics, communications, and other environmental interaction. The simulation is particularly valuable during the early stages of algorithm development and implementation as an aid in accelerating the learning curve for any Guest... -
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Visualization and clustering analysis of X-Ray diffraction data from combinatorial thin film libraries.
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ALCHEMY is a genotype calling algorithm for Affymetrix and Illumina products which is not based on clustering methods. Features include explicit handling of reduced heterozygosity due to inbreeding and accurate results with small sample sizes
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SynergyTwo is ortholog clustering software for both prokaryotic and eukaryotic genomes. It requires Workflow (also available on sourceforge) to manage the computes. It is a reimplementation of the algorithm described in Wapinski et al Bioinformatics 2007.
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Unsupervised TXT classifier
Classify any two TXT documents, no training required - JAVA
This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets... -
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VOC-DPM
Object detection system using deformable part models (DPMs)
... (where part assignments are treated as latent variables) and weak-label structural SVM (WL-SSVM) for learning from partially labeled data. The code integrates several enhancements: a star-cascade detection algorithm to speed up screening, context rescoring (re-ranking detections using contextual information), and various optimizations like in-memory training (rather than large on-disk data files). -
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avimmir
(audio, video, image) Multimedia Multimodal Information Retrieval
audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc. -
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SpikeAnalyzer
SpikeAnalyzer is a program for calcium spikes analysis
SpikeAnalyzer is a semiautomatic program for analysis of calcium spikes in cardiac myocytes created in the MATLAB environment. The analysis parameters are automatically initialized upon loading the electrophysiological and confocal data in their respective proprietary formats (confocal data - .tif, electrophysiological data – .abf ver. 2.0). The analysis starts with interactive selection of spike positions and determining their temporal fluorescence profiles. The data approximation uses... -
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cCNN
A fast implementation of LeCun's convolutional neural network
Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin. -
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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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VneCplus
虚拟网络映射的仿真器框架
VneCplus是一个虚拟网络映射的仿真器框架，其中实现了NC_DSBA算法，极大地提高了虚拟网络的映射性能。 NC_DSBA（Nodes Clustering and Dynamic Service Balance Awareness Algorithm）虚拟网络映射算法采用节点聚类的策略将虚拟网络请求分割为规模较小的子请求，分而治之，极大地降低了计算复杂度。采用PageRank计算每个节点的负载均衡能力和需求，从而使得虚拟网络请求的映射更趋于均衡，显著提高了虚拟网络映射的收益开销比和承载能力。 -
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lonestar
A feature selection and classification algorithm based on L1 Norm SVM
A feature selection and classification algorithm. It is based on L1 Norm Support Vector Machine with t-test and Recursive Feature Elimination. -
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qure
software for viral quasispecies reconstruction from next-gen seq. data
QuRe is a program for viral quasispecies reconstruction, specifically developed to analyze long read (>100 bp) NGS data. The software performs alignments of sequence fragments against a reference genome, finds an optimal division of the genome into sliding windows based on coverage and diversity and attempts to reconstruct all the individual sequences of the viral quasispecies--along with their prevalence--using a heuristic algorithm, which matches multinomial distributions of distinct viral... -
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Enhanced Stable Election Protocol- SEP-E
An enhanced stable election protocol for wireless sensor network
While wireless sensor networks are increasingly equipped to handle more complex functions, in-network processing may require these battery powered sensors to judiciously use their constrained energy to prolong the effective network life time especially in a heterogeneous settings. Clustered techniques have since been employed to optimize energy consumption in this energy constrained wireless sensor networks. We propose an Enhanced-SEP clustering algorithm in a three-tier node scenario... -
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DEC routing protocol for WSN
A Deterministic Energy-efficient Clustering protocol for WSN
Wireless sensor network (WSN) technologies have been employed in recent years for monitoring purposes in various domains from engineering industry to our home environment due to their ability to intelligently monitor remote locations. In this paper, we have developed a purely deterministic model that utilizes clustering to organize the WSN. We propose a deterministic energy-efficient clustering protocol that is dynamic, distributive, self-organizing and more energy efficient than the existing...
