reservoir models are initially generated from estimates of specific rock properties and maps of reservoir heterogeneity. many types of information are used in reservoir model construction. one of the most important sources of information comes from wells, including well logs and core samples. unfortunately well log and core data are local measurements that may not reflect the reservoir behavior...

Emergence of recent techniques for scientific knowledge collection has resulted in large scale accumulation of information relating various fields. Typical info querying ways are inadequate to extract helpful data from huge knowledge banks. Cluster analysis is one of the key knowledge analysis way and the k-means clustering algorithm is widely used for several data mining applications. The anal...

A real valorization of monovarietal extra virgin olive oils (EVOOs) through diverse sensory profiles is missing, hindering different uses samples with and leading to negative impacts on EVOO competitions consumer choices. The aim this research group EVOOs according similar chemical profiles. volatile phenolic composition the profile 46 are analyzed by head space-solid phase micro extraction-gas...

Data is the most valuable asset in any firm. As time passes, data expands at a breakneck speed. A major research issue extraction of meaningful information from complex and huge source. Clustering one methods. The basic K-Mean Parallel partition clustering algorithms work by picking random starting centroids. parallel methods are investigated this using two different datasets with sizes 10000 5...

In order to overcome the shortcomings of traditional clustering algorithms such as local optima and sensitivity to initialization, a new Optimization technique, Particle Swarm Optimization is used in association with Unsupervised Clustering techniques in this paper. This new algorithm uses the capacity of global search in PSO algorithm and solves the problems associated with traditional cluster...