In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

A good way to see where this article is headed is to take a look at the screenshot in Figure 1 and the graph in Figure 2. The demo program begins by loading a tiny 10-item dataset into memory. The ...

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview ...

working with amazons3 ,t2.micro Ubuntu instance, Amazon AutoScaling group, Map-Reduce and Parallelize the implementation of K-means and DBSCAN algorithm using Hadoop and Map reduce cluster ...

Abstract: With the explosive growth of data, we have entered the era of big data. In order to sift through masses of information, many data mining algorithms using parallelization are being ...

ABSTRACT: Based on the structure of citation network, the citation paths among papers, and the association strength such as coupling, co-citation and etc. between two papers are defined in this ...