Top PDF “Gestión del liderazgo y valores en el colegio Nacional Nocturno Seis de Diciembre durante el año lectivo 2010-2011”
IP2P K-means: an efficient method for data clustering on sensor networks
... wireless sensor network applications require data gathering as the most important parts of their ...lifetime. Clustering is considered as an efficient topology control methods in ...
An Intelligent Method for Data Classification by Proposing a Value for Fields Missing Any Values On The Basis Of Recommendation Systems and K-Means Clustering
... applied on 50data set obtained by 10-fold cross evaluation in 5 data ...not efficient, and it has lower precision than the field missing a ...proposed method and competitor methods have been ...
A Novel K-Means Based Clustering Algorithm for High Dimensional Data Sets
... Abstract- Data clustering is an unsupervised method for extraction hidden pattern from huge data ...dimensional data sets with enormous number of samples is a challenging ...
Decentralized Lifetime Maximizing Tree with Clustering for Data Delivery in Wireless Sensor Networks
... and efficient utilization of the energy of the source nodes, a Decentralized life maximizing tree construction algorithm [8] was studied, the DLMT [8] constructs a tree by selecting highest residual energy parent ...
Classification Of Cluster Area Forsatellite Image
... about an object or area on the surface of the earth without being in direct contact with ...as an information carrier in remote ...is an image representing the scene being observed usually ...
AN EFFICIENT INITIALIZATION METHOD FOR K-MEANS CLUSTERING OF HYPERSPECTRAL DATA
... to clustering of hyperspectral data, in this study, a multi- step framework was presented to resolve the problem of initialization of k-means and improve the clustering ...the ...
Joao Santos Oliveira
... algoritmo K-means estar dependente da inicialização dos centros dos clusters, pois caso a inicialização fosse realizada sempre com os mesmos centros o resultado obtido para um conjunto de dados seria sempre ...
EXPLORATORY GEOSPATIAL DATA ANALYSIS USING SELF-ORGANIZING MAPS
... For a further evaluation of several similarity coefficients refer to Meyer (2002) where the coefficients of Jaccard, Sorensen-Dice, Anderberg and Ochiai gave similar results due to the fact that all of them exclude ...
The Role and Issues of Clustering Technique in Designing Maintainable Object Oriented System
... of clustering is to place record into disjoint ...groups. K-means clustering algorithm is generally used partitioning ...r k in n-dimensional space is calculated as ...
An Advanced Survey on Secure Energy-Efficient Hierarchical Routing Protocols in Wireless Sensor Networks
... for Sensor Networks consists of a hierarchical network with CHs and cluster member ...protect data. SRPSN is also designed to safeguard the data packet transmission on the sensor ...
A Cluster Feature-Based Incremental Clustering Approach to Mixed Data
... develop an incremental clustering algorithm that can handle numerical as well as categorical attributes in a given ...numerical data. Appraoch: Since many of the real life data mining ...
Parallel K-Means Algorithm on Agricultural Databases
... GPUMininer. The performances of these algorithms were improved significantly, and the computational speedup is also improved significantly. Judd et al.[4] designed and implemented a parallel clustering algorithm ...
Infected Fruit Part Detection using K-Means Clustering Segmentation Technique
... based on color features with K-means clustering unsupervised ...based on their color and spatial features, where the clustering process is ...
Investigation of Internal Validity Measures for K-Means Clustering
... the k-means algorithm is to choose the number of clusters into which the data will be ...of k is largely an interpretive decision. Suc- cessive runs of k-means can ...
A NOVEL KERNEL BASED FUZZY C MEANS CLUSTERING WITH CLUSTER VALIDITY MEASURES
... pixels on the boundary especially in the regions with heavy level of intensity ...dependent on the initialization of the cluster ...C Means) ...input data into a higher dimensional feature ...
A Study on Secure Data Collection Mechanism for Wireless Sensor Networks
... reliable data collection from one source node to destination ...all sensor node to base station to 1 multiple discovery protocol main technique is hybrid data collection ...between sensor node ...
Energy Efficient Routing Protocol for Wireless Sensor Networks
... with an advertisement packet that they become CHs using CSMA MAC ...Based on all messages received within the cluster and the number of regular nodes, the CH creates a TDMA schedule, picks a CSMA code ...
Sensor-2-sensor
... Agrawal, “APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks,” in 2nd International Workshop on Parallel and Distributed [r] ...
Detecção de posição e quedas corporais baseado em K-means clustering eThreshold
... Existem três classes nesse sistema: interface web, aplicativo Android e sistema embar- cado. A interface web está agregada ao sistema embarcado, pois a mesma foi configurada utilizando um servidor local no RaspberryPi. ...
Soluções cientes de agregação de dados da correlação espaço-temporal e consumo de energia para realizar coleta de dados em redes de sensores sem fio
... De nition 1 (Steiner Tree) given a network represented by a graph G = (V, E) , where V = {v 1 , v 2 , . . . , v n } is the set of sensor nodes, E is the set of edges representing the onne
tions among the nodes, ...