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Supervised kernel density estimation K-means
FD Bortoloti, E de Oliveira, PM Ciarelli - Expert Systems with Applications, 2021 - Elsevier
K-means is a well-known unsupervised-learning algorithm. It assigns data points to k
clusters, the centers of which are termed centroids. However, these centroids have a …
clusters, the centers of which are termed centroids. However, these centroids have a …
From data mining to knowledge mining: Application to intelligent agents
The last decade, the computers world became a huge wave of data. Data mining tasks were
invoked to tackle this problem in order to extract the interesting knowledge. The recent …
invoked to tackle this problem in order to extract the interesting knowledge. The recent …
Different Methods for Cluster's Representation and Their Impact on the Effectiveness of Searching Through Such a Structure
In this paper the topic of clustering and searching through clusters generated from real-world
knowledge bases is discussed. Authors analyze three methods of cluster's representatives …
knowledge bases is discussed. Authors analyze three methods of cluster's representatives …
[PDF][PDF] Fouille parallèles des règles d'association sur GPU
Y Djenouri - 2014 - dspace.usthb.dz
Résumé La fouille des règles d'association est un processus qui permet de déduire un
ensemble de règles reliant les di érentes données d'une base de transactions. Avec …
ensemble de règles reliant les di érentes données d'une base de transactions. Avec …