Search
Now showing items 1-10 of 566
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
Combining K-Means and K-Harmonic with Fish School Search Algorithm for data clustering task on graphics processing units
(2016-04-01)
Data clustering is related to the split of a set of objects into smaller groups with common features. Several optimization techniques have been proposed to increase the performance of clustering algorithms. Swarm Intelligence ...
Multi-Dimensional Clustering of Roles in the NBA
(ITESO, 2021)
QK-Means: A Clustering Technique Based on Community Detection and K-Means for Deployment of Cluster Head Nodes
(Ieee, 2012-01-01)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
Monitoring of structural integrity using unsupervised data clustering techniques
(2015-01-01)
This work presents a comparative study of three unsupervised data clustering techniques used to perform the monitoring of the structural integrity of an agricultural tractor. The techniques used in this study are: K-Means, ...
Evolutionary k-means for distributed data sets
(ElsevierAmsterdam, 2014-03-15)
One of the challenges for clustering resides in dealing with data distributed in separated repositories, because most clustering techniques require the data to be centralized. One of them, k-means, has been elected as one ...
Evolving clusters in gene-expression data
(Elsevier Science IncNew YorkEUA, 2006)
Infected Fruit Part Detection using K-Means Clustering Segmentation Technique
Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This ...