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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 ...
Land use image classification through optimum-path forest clustering
(2011-11-16)
Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this ...
Building detection from lidar data using entropy and the k-means concept
(2019-06-04)
Information obtained from LiDAR data processing is considered in a variety of applications, among them urban planning. In this context, buildings play a substantial role, since a high percentage of the urban landscape is ...
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 ...
General types of spherical mean operator and k-functionals of fractional orders
(Universidade Estadual do Oeste do Paraná – UNIOESTESociedade Paranaense de Matemática – SPMUniversidade Estadual de Maringá – UEMCascavel, 2015-11)
We design a general type of spherical mean operators and employ them to approximate 'L IND.P' class functions. We show that optimal orders of approximation are achieved via appropriately defined K-functionals of fractional orders.
Land use temporal analysis through clustering techniques on satellite image time series
(IEEE Geoscience and Remote Sensing Society - GRSSCanadian Remote Sensing Society / Société canadienne de télédétection - CRSS-SCTQuébec City, 2014-07)
Satellite images time series have been used to study land surface, such as identification of forest, water, urban areas, as well as for meteorological applications. However, for knowledge discovery in large remote sensing ...