self-organizing-map

There are 13 repositories under self-organizing-map topic.

diego-vicente / som-tsp
Solving the Traveling Salesman Problem using Self-Organizing Maps
self-organizing-map som tsp tsp-problem tsp-approximation traveling-salesman
Language:Python 3612
JustGlowing / minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
machine-learning vector-quantization som neural-networks unsupervised-learning manifold-learning self-organizing-map clustering outlier-detection dimensionality-reduction
Language:Python 1379
fcomitani / simpsom
Python library for Self-Organizing Maps
clustering dimensionality-reduction kohonen python self-organizing-map
Language:Python 153
0011001011 / vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
kmeans dbscan machine-learning t-sne tsne visualization data-visualization data-mining data-science pca self-organizing-map unsupervised-learning big-data 2d-space
Language:Python 106
ANNetGPGPU / ANNetGPGPU
A GPU (CUDA) based Artificial Neural Network library
self-organizing-map cuda c-plus-plus-11 propagation-network
Language:C++ 101
felixriese / susi
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
data-science machine-learning opensource pypi-package python self-organizing-map semi-supervised-learning som sphinx-doc supervised-learning unsupervised-learning
Language:Python 99
FlorentF9 / DESOM
:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
self-organizing-map clustering deep-learning autoencoder representation-learning visualization keras kohonen-map som
Language:Python 88
giannisnik / som
Pytorch implementation of a Self-Organizing Map
neural-network self-organizing-map
Language:Python 82
cgorman / tensorflow-som
A multi-gpu implementation of the self-organizing map in TensorFlow
tensorflow neural-networks self-organizing-map unsupervised-learning
Language:Python 77
mpatacchiola / pyERA
Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.
som artificial-neural-networks self-organizing-map hebbian-learning
Language:Python 70
CarsonScott / HSOM
Hierarchical self-organizing maps for unsupervised pattern recognition
neural-network self-organizing-map self-organization unsupervised-learning classification multiclass-classification classifier classifier-training artificial artificial-intelligence artificial-neural-network machine-learning machine-learning-algorithms artificial-intelligence-algorithms ai ml deep-learning deep-neural-networks unsupervised-machine-learning unsupervised-clustering
Language:Python 58
jonghough / jlearn
Machine Learning Library, written in J
machine-learning convolutional-neural-networks j deep-learning gaussian-mixture-models gaussian-processes self-organizing-map principal-component-analysis k-means hierarchical-clustering lstm ensemble-learning learning rbm restricted-boltzmann-machines multilayer-perceptron-network knn-classifier clustering
Language:J 56
Dotori-HJ / SelfOrganizingMap-SOM
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.
pytorch pytorch-implementation self-organizing-map som
Language:Python 44
farhanchoudhary / Deep-Learning-A-Z-Hands-on-Artificial-Neural-Network
Codes and Templates from the SuperDataScience Course
artificial-neural-networks superdatascience-course convolutional-neural-networks recurrent-neural-networks self-organizing-map boltzmann-machines autoencoders
Language:Python 39
enricivi / growing_hierarchical_som
Self-Organizing Map [https://en.wikipedia.org/wiki/Self-organizing_map] is a popular method to perform cluster analysis. SOM shows two main limitations: fixed map size constraints how the data is being mapped and hierarchical relationships are not easily recognizable. Thus Growing Hierarchical SOM has been designed to overcome this issues
ghsom hierarchical-clustering self-organizing-map
Language:Python 33
avinashshenoy97 / RusticSOM
Rust library for Self Organising Maps (SOM).
machine-learning som self-organizing-map ml rust rust-library crates
Language:Rust 31
LCSB-BioCore / GigaSOM.jl
Huge-scale, high-performance flow cytometry clustering in Julia
som cytometry large-scale huge-scale clustering self-organizing-map artificial-intelligence artifical-neural-network flow-cytometry clustering-methods neural-networks mass-cytometry cytof immunology
Language:Julia 29
viktor-platform / sample-travelling-salesman
2-opt ai artificial-intelligence data-science genetic-algorithm machine-learning python self-organizing-map travelling-salesman travelling-salesman-problem viktor-ai routing-problem
Language:Python 28
FlorentF9 / SOMperf
:globe_with_meridians: SOMperf: Self-organizing maps performance metrics and quality indices
benchmarking clustering clustering-metrics performance-metrics self-organizing-map som topographic-metrics
Language:Python 27
Hatchin / FlowSOM
FlowSOM algorithm in Python, using self-organizing maps and minimum spanning tree for visualization and interpretation of cytometry data
self-organizing-map som minimal-spanning-tree mst flowsom
Language:Python 26
ufvceiec / GEMA
A small Python 3 library to train Self Organizing Maps and use them to classify patterns.
kohonen python-library self-organizing-map
Language:Python 21
HITS-AIN / PINK
Parallelized rotation and flipping INvariant Kohonen maps
kohonen-map machine-learning astronomical-algorithms som som-training self-organizing-map
Language:Jupyter Notebook 20
yoch / sparse-som
Efficient Self-Organizing Map for Sparse Data
self-organizing-map sparse-data openmp neural-nets som algorithm python
Language:C++ 18
FlorentF9 / sparkml-som
:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)
spark spark-ml spark-mllib clustering machine-learning scalable self-organizing-map som
Language:Scala 17
joshspeagle / frankenz
A photometric redshift monstrosity
pure-python bayesian-inference mit-license photo-z nearest-neighbors self-organizing-map growing-neural-gas template-fitting
Language:Python 17
iRath96 / som-demo
A demo of self-organizing maps using React, TypeScript and three.js
react typescript machine-learning self-organizing-map threejs browser
Language:TypeScript 15
JRC1995 / Self-Organizing-Map
SOM clustering on IRIS dataset
self-organizing-map som
Language:Jupyter Notebook 15
sharmaroshan / Credit-Card-Fraud-Detection
It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.
deep-learning anamoly-detection data-analysis eda beginner finance data-visualization self-organizing-map unsupervised-learning
Language:Jupyter Notebook 15
dashaub / kohonen4j
Kohonen Self-Organizing Maps in Java
kohonen self-organizing-map java
Language:Java 14
text2landscape
aourednik / text2landscape
Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps
text-mining word2vec quanteda ggraph self-organizing-map graph force-directed-graphs
12
Parth-Vader / ADLAS
Autonomous Dynamic Learning Apprentice System
autonomous-systems clustering-algorithm machine-learning-algorithms self-organizing-map
Language:C++ 12
albertnadal / KohonenNeuralNetwork
C implementation of the Kohonen Neural Network (SOM algorithm)
kohonen-map kohonen-som neural-network self-organizing-map
Language:C 10
marccasian / KaryML-Framework
Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down syndrome, Klinefelter syndrome or Hemophilia. Usually, clinicians are doing chromosome analysis using the karyotype to detect such disorders. The main contribution of the current article consists of introducing a new approach called KaryML Framework, which is extending our previous research: KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps . Our major goal is to provide a new method for an automated karyotyping system using unsupervised techniques. Additionally, we provide computational methods for chromosome feature extraction and to develop an intelligent system designed to aid clinicians during the karyotyping process.
unsupervised-learning karyotype chromosomes self-organizing-map fuzzy-self-organizing-map chromosomal-disorder
Language:Python 10
Rohithram / Self-Organizing-Maps-using-KNN
High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors
machine-learning time-series-analysis anomaly-detection self-organizing-map knn-algorithm
Language:Jupyter Notebook 10
walfonso-uv / NLPCA-SOM
Clustering using Self-Organizing Maps through Non-Linear Principal Components Analysis - Rainfalls in Southwestern Colombia
neural-networks principal-component-analysis self-organizing-map rainfall-data
Language:MATLAB 10
zyuan-astro / StarGO-OC
Apply a clustering tool based on self-organizing-map to identify open clusters
unsupervised-clustering gaia astrophysics self-organizing-map
Language:Jupyter Notebook 10

self-organizing-map

diego-vicente / som-tsp

JustGlowing / minisom

fcomitani / simpsom

0011001011 / vizuka

ANNetGPGPU / ANNetGPGPU

felixriese / susi

FlorentF9 / DESOM

giannisnik / som

cgorman / tensorflow-som

mpatacchiola / pyERA

CarsonScott / HSOM

jonghough / jlearn

Dotori-HJ / SelfOrganizingMap-SOM

farhanchoudhary / Deep-Learning-A-Z-Hands-on-Artificial-Neural-Network

enricivi / growing_hierarchical_som

avinashshenoy97 / RusticSOM

LCSB-BioCore / GigaSOM.jl

viktor-platform / sample-travelling-salesman

FlorentF9 / SOMperf

Hatchin / FlowSOM

ufvceiec / GEMA

HITS-AIN / PINK

yoch / sparse-som

FlorentF9 / sparkml-som

joshspeagle / frankenz

iRath96 / som-demo

JRC1995 / Self-Organizing-Map

sharmaroshan / Credit-Card-Fraud-Detection

dashaub / kohonen4j

aourednik / text2landscape

Parth-Vader / ADLAS

albertnadal / KohonenNeuralNetwork

marccasian / KaryML-Framework

Rohithram / Self-Organizing-Maps-using-KNN

walfonso-uv / NLPCA-SOM

zyuan-astro / StarGO-OC