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OClustR: A new graph-based algorithm for overlapping clustering
(Elsevier B.V., 2013)
Agrupamento de sequências de miRNA utilizando aprendizado não-supervisionado baseado em grafos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-08-12)
Cluster analysis is the organization of a collection of patterns into clusters based on similarity
which is determined by using properties of data. Clustering techniques can be useful in a
variety of knowledge domains ...
A dynamic clustering algorithm for building overlapping clusters
(IOS Press, 2012)
Graph partitioning-based clustering for the planning of distribution network topology using spatial- temporal load forecasting
(2021-09-15)
Planning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing ...
Clustering algorithm based on asymmetric similarity and paradigmatic features
(Inderscience Enterprises Ltd., 2016)
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and information retrieval. Various similarity measures are categorised in both syntactic and semantic ...
Graph partitioning-based clustering for the planning of distribution network topology using spatial- temporal load forecasting
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Planning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing ...
Nuevos Algoritmos Basados en Grafos y Clustering para el Tratamiento de Complejidades de los DatosNew Algorithms Based on Graphs and Clustering for handling Data Complexities
(Universidad Autónoma del Estado de México, 2021)
Clustering gene expression data with a penalized graph-based metric
(Biomed Central, 2011-01)
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle data with a manifold structure, i.e. data that ...