Search Results for "fuzzy clustering code" - Page 4
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Showing 145 open source projects for "fuzzy clustering code"
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Swarm
Easy clustering, registration, and distribution of worker processes
...Its design embraces OTP principles, using supervised processes and fault-tolerant messaging to keep the registry resilient under failures. Developers can co-locate Swarm with their existing supervision trees to scale workers horizontally without writing custom clustering code. Typical use cases include globally unique workers, sharded consumers, and presence-like coordination where node churn is expected. By turning registry and handoff into configuration and callbacks, Swarm reduces the complexity of multi-node deployments. -
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
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EECluster
Tool for energy-efficient resource management in HPC clusters
EECluster is software tool for managing the energy-efficient allocation of the cluster resources. EECluster uses a Hybrid Genetic Fuzzy System as the decision-making mechanism that elicits part of its rule base dependent on the cluster workload scenario, delivering good compliance with the administrator preferences. In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power... -
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Python Data Science Tutorials
Common data analysis and machine learning tasks using python
Python Data Science Tutorials is a curated learning repository for common data analysis, machine learning, and natural language processing tasks in Python. It combines external tutorials, courses, reference guides, notebooks, articles, and selected code examples. The collection begins with Python fundamentals and then moves into scientific computing, statistics, NumPy, pandas, data exploration, and visualization. Its machine learning sections cover practical algorithms and libraries, including regression, classification, clustering, support vector machines, and computer vision resources. ... -
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Quasar
Fibers, channels and actors for the JVM
Quasar is a library that provides high-performance lightweight threads, Go-like channels, Erlang-like actors, and other asynchronous programming tools for Java and Kotlin. Quasar is developed by Parallel Universe and released as free software, dual-licensed under the Eclipse Public License and the GNU Lesser General Public License. Quasar fibers rely on bytecode instrumentation. This can be done at classloading time via a Java Agent, or at compilation time with an Ant task. Quasar’s... -
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Toolbox for handling X-ray transmission image data collected using the Xradia TXM system. We are constantly updating the code to implement other file formats as well - suggestions are welcome. Main articles: -) TXM-Wizard: a program for advanced data collection and evaluation in full-field transmission X-ray microscopy, Journal of Synchrotron Radiation, 19, 281-287. (2012) http://scripts.iucr.org/cgi-bin/paper_yard?hf5192 -) 3D elemental sensitive imaging using transmission X-ray...
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Point Symmetry Clustering
Point Symmetry Clustering Approach Using Differential Evolution
...You may download code: git clone git://git.code.sf.net/p/pointsymmetryclustering/code pointsymmetryclustering-code 2. Build: mvn clean install assembly:assembly -DskipTests -Dmaven.test.skip=true -DdownloadSources=true -Dcheckstyle.skip=true 3. Run: java -jar target/point-symmetry-clustering-1.0-fat.jar -
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C++ Fuzzy Logic Programming Library - For problem solving in the fuzzy logic domain. It has an object oriented API well suited to C++ syntax for direct inclusion in source code. Portable to platforms that support the C++ STL.
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Construct2D
COmputational fluid dyNamics STRUctured grid CreaTor for 2D airfoils
...Elliptic grid generation is still available also. Smooth airfoil surface spacing is handled automatically with user-controlled clustering parameters. Also included is a visualizer written in Python with matplotlib. -
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Son of Grid Engine (SGE)
Community superset free distribution of gridengine/SGE batch system
Son of Grid Engine is a community continuation of the old Sun Grid Engine project. It aims to be a big superset of available free gridengine code and patches. The main site is currently https://arc.liv.ac.uk/trac/SGE/ and https://arc.liv.ac.uk/SGE/ but release files are inaccessible there and being hosted here. -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
...The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. By bridging ideas from graph theory and word embedding models, this project demonstrates how graph-based machine learning can be made efficient and flexible. -
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Here are the code of of algorithms and 5 data sets which were mentioned in the paper named "H-max distance measure of intuitionistic fuzzy sets and applications to medical diagnosis" of the authors group who are Roan Thi Ngan, Bui Cong Cuong, Le Hoang Son and Mumtaz Ali.
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Here are the code of of algorithms and 5 data sets which were mentioned in the paper named "H-max distance measure of intuitionistic fuzzy sets and applications to medical diagnosis" of the authors group who are Roan Thi Ngan, Bui Cong Cuong, Le Hoang Son and Mumtaz Ali.
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Here are the code of of algorithms and 5 data sets which were mentioned in the paper named "Delta -Equalities of Intuitionistic Fuzzy Sets and Applications to Medical Diagnosis" of the authors group who are Roan Thi Ngan, Mumtaz Ali, and Le Hoang Son.
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jReflectServer
A lightweight Java HTTP server and webservice-framework
jReflectServer is a very small, lightweight and super easy-to-use java web-server and -framework for creating (distributed) pure java web-applications, webservices and small websites. jReflectServer is able to randomly forward requests to a cluster of remote server nodes. For this distributed code execution no special code is needed. A distributed session can be used to share data between the server instances. Due to its small footprint, it's also perfect for embedded hardware like the... -
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Density-ratio based clustering
Discovering clusters with varying densities
This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. 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. ... -
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To perform this program. This code is performed to get results for our paper: Tran Manh Tuan, Le Hoang Son, "Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints", submitted
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To perform this program. This code is performed to get results for our paper: Le Hoang Son, Tran Manh Tuan, "A cooperative semi-supervised fuzzy clustering framework for dental X-ray image segmentation", submitted
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To perform this program. This code is performed to get results for our paper: Tran Manh Tuan, Nguyen Thanh Duc, Pham Van Hai and Le Hoang Son, "DENTAL DIAGNOSIS FROM IMAGE DATA USING FUZZY RULE-BASED SYSTEMS", submitted
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To perform this program. This code is performed to get results for our paper: Tran Manh Tuan, Le Hoang Son, "A NOVEL FRAMEWORK USING GRAPH-BASED CLUSTERING FOR DENTAL X-RAY IMAGE SEARCH IN MEDICAL DIAGNOSIS", submitted
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CCKDM
Concern Mining
This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings. -
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Light Table
Code editor that connects you to your creation with instant feedback
Connects you to your creation with instant feedback and showing data values flow through your code. Embed anything you want, from graphs to games to running visualizations. Easily customizable from keybinds to extensions to be completely tailored to your specific project. Everything from eval and debugging to a fuzzy finder for files and commands to fit seamlessly into your workflow. Try new ideas quickly and easily. Ask questions about your software, to give you a more profound understanding of your code. ...
