clustering technique is one of the most important techniques of data mining and is the branch of multivariate statistical analysis and a method for grouping similar data in to same clusters. with the databases getting bigger, the researchers try to find efficient and effective clustering methods so that they can make fast and real decisions. thus, in this paper, we proposed an improved ant syst...

in recent years, sub-band speech recognition has been found useful in addressing the need for robustness in speech recognition, especially for the speech contaminated by band-limited noise. in sub-band speech recognition, the full band speech is divided into several frequency sub-bands, with the result of the recognition task given by the combination of the sub-band feature vectors or their lik...

An instance of the given problem is divided into easier instances of the same problem, which are solved recursively and then combined to create a solution to the original instance. Of course, divide and conquer is not suitable for every problem. A divide and conquer approach will only work if the problem is easily divided into a small number of easier sub-problems, and the solution to the entir...

there are several problems in matters concerning scientific explanation, the most important of which is offering a definition of explanation and classifying the different approaches taken in offering a model for scientific explanation. in this paper, we will go through the current approaches to explanation while presenting a definition of it. in their discussions about explanation, philosophers...

Chemometric methods can enhance geochemical interpretations, especially when working with large datasets. With this aim, exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) methods are used herein to study the bulk pyrolysis parameters of 534 samples from the Persian Gulf basin. These methods are powerful techniques for identifying the patterns of variations i...