K-mean clustering algorithm for processing signals from compound semiconductor detectors. Tada T,Hitomi K,Wu Y. Nuclear Instruments . 2011Tsutomu Tada,Keitaro Hitomi,Yan Wu,Seong-Yun Kim,Hiromichi Yamazaki,Keizo Ishii.K-mean clustering algorithm for processing signals from compound semiconductor ...
K mean clustering algorithmcluster analysisK means clustering algorithm is applied to the field of intrusion detection,it has the following problems.First,cluster analysis does not consider the correlation degree of the data flow,so clustering accuracy is not high;the second is prone to packet loss...
Note:K means algorithm is one of the simplest partition clustering method. More advanced algorithms related to k means areExpected Maximization (EM) algorithmespeciallyGaussian Mixture, Self-Organization Map (SOM) from Kohonen, Learning Vector Quantization (LVQ). To overcome weakness of k means, seve...
function [cid,nr,centers] = cskmeans(x,k,nc) % CSKMEANS K-Means clustering - general method. % % This implements the more general k-means algorithm, where % HMEANS is used to find the initial partition and then each % observation is examined for further improvements in minimizing % t...
【摘要】 K-mean是一个无监督的聚类算法(unsupervised clustering algorithm), 它简单快速, O(n)的运算复杂度。但是,该算法的有效性通常受到初始聚类中心点的影响。虽然学术界已经有很多方法被提出, 用来提高初始聚类中心点选取。但是,受数据集的影响,其效果也不理想。所以, 一直以来k-means聚类初始中心点选取问题一...
It is having 99.2% precision and 100% recall, So it can be summarize that proposed statistical model is giving better performance better results than existing clustering algorithm.Kusum BhartiShweta JainSanyam ShuklaEngg Journals PublicationsInternational Journal on Computer Science and Engineering...
method of Technical Analysis, K-means clustering algorithm, and Mean-Variance portfolio optimization model was proposed in this paper. The study aims to integrate these three important analyses to come up with the best portfolio. This paper uses the average annual risk and an annual rate of ...
[1]Arthur Neves de Paula, Edimar José de Oliveira, Leonardo de Mello Honório , Leonardo Willer de Oliveira, Camile Arêdes Moraes (2020) m-ISODATA: unsupervised clustering algorithm to capture representative scenarios in power systems [2]李仲恒,刘蓉晖.基于ISODATA的电力负荷曲线分类[J].上海电力学...
In the following sections, we explain the k-mean clustering algorithm. Then, we discuss the OpenCL implementation of k-mean clustering. Finally, we provide some performance results comparing how the algorithm can be accelerated on an Intel® Arria® 10 FPGA versus an Intel Xeon CPU. K...
In the following sections, we explain the k-mean clustering algorithm. Then, we discuss the OpenCL implementation of k-mean clustering. Finally, we provide some performance results comparing how the algorithm can be accelerated on an Intel® Arria® 10 FPGA versus an Intel Xeon CPU. K...