Self-Organized Clustering
4 papers with code • 0 benchmarks • 0 datasets
Clustering with Self-Organized Maps
Benchmarks
These leaderboards are used to track progress in Self-Organized Clustering
Most implemented papers
Deep Embedded SOM: Joint Representation Learning and Self-Organization
FlorentF9/DESOM
•
•
ESANN 2019 2019
In the wake of recent advances in joint clustering and deep learning, we introduce the Deep Embedded Self-Organizing Map, a model that jointly learns representations and the code vectors of a self-organizing map.
The GH-EXIN neural network for hierarchical clustering
Furthermore, an important and very promising application of GH-EXIN in two-way hierarchical clustering, for the analysis of gene expression data in the study of the colorectal cancer is described.
A Survey and Implementation of Performance Metrics for Self-Organized Maps
Quantitative evaluation of self-organizing maps (SOM) is a subset of clustering validation, which is a challenging problem as such.
FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies
To integrate these steps, this work proposes a framework based on the following strategies, widely used in the literature: Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Linear Programming, besides our Heuristic approach.
