A robust fuzzy clustering approach is proposed to simplify the task of principal component analysis (PCA) by reducing the data complexity of an image. This approach performs well on function curves and character images that not only have loops, sharp corners and intersections but also include data with noise and outliers. The proposed approach is composed of two phases: firstly, input data are ...

While five-factor models of personality are widespread, there is still not universal agreement on this as a structural framework. Part of the reason for the lingering debate is its dependence on factor analysis. In particular, derivation or refutation of the model via other statistical means is a worthwhile project. In this paper we use the methodology of spectral clustering to articulate the s...

a 15-landmark morphometric truss network system was used to investigate the hypothesis of population fragmentation of shad fish alosa braschnicowi borodin, 1904 along the southern caspian sea. a total of 181 a. braschnicowi specimens were caught from six localities, respectively from the west to the east including; astara, rezvanshahr, anzali, tonekabon, sari and miankale. principal component a...

This paper presents our approach to the Author Clustering task at PAN 2017. We performed a hierarchical clustering analysis of different document features: typed and untyped character n-grams, and word n-grams. We experimented with two feature representation methods, log-entropy model, and tf-idf; while tuning minimum frequency threshold values to reduce the dimensionality. Our system was ranke...

With rapid development in information gathering technologies and access to large amounts of data, we always require methods for data analyzing and extracting useful information from large raw dataset and data mining is an important method for solving this problem. Clustering analysis as the most commonly used function of data mining, has attracted many researchers in computer science. Because o...

Permeability can be directly measured using cores taken from the reservoir in the laboratory. Due to high cost associated with coring, cores are available in a limited number of wells in a field. Many empirical models, statistical methods, and intelligent techniques were suggested to predict permeability in un-cored wells from easy-to-obtain and frequent data such as wireline logs. The main obj...