At present, few studies have considered the clustering analysis of high-dimensional data
collected by many sensors in a real-time streaming environment. Existing clustering analysis …

Reliability assessment of the SCADA-system based load data is necessary for improving
accuracy of short-term load forecasting (STLF) methods in a distribution network (DN) …

The increasing use of technology in diverse field has caused generation of huge volumes of
information streams. Data streams contains bulk of data points generated at high speed …

In this paper, the development and implementation of the clustering algorithm (CA)
developed for an instrument to detect lightning phenomena (Lightning Imager) is presented …

In this paper, by analyzing the advantages and disadvantages of existing clustering analysis
algorithms, a new neighborhood density correlation clustering (NDCC) algorithm for quickly …

Data stream is relatively new and emerging domain in the current era of Internet
advancement. Clustering data streams is equally important and difficult because of the …

El artículo tiene como objetivo presentar una introducción al proceso de minería de flujos de
datos usando técnicas de agrupamiento, observando las limitaciones de las técnicas …

With recent advancement in technology need for analysis of such unbounded streams is
increasing day by day. Data mining process helps to excavate useful knowledge from …

*HYHJ[LYPaHJP}U KL fl\QVZ KL KH[VZ \ZHUKV algoritmos de agrupamiento Page 1 153 *HYHJ[LYPaHJP}U
KL fl\QVZ KL KH[VZ \ZHUKV algoritmos de agrupamiento Characterizing data stream using …