A number of factors that influence the educational process have emerged from research on human developmental stages and life phases. Learning style is one factor researchers claimed influence student educational performance (Dunn & Dunn, 1979; Claxton & Murrell, 1987; Garger & Guild, 1984; Saracho, 1989; Witkin, 1973). Gregorc (1979) described learning style as “consisting of distinctive behavi...

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In the present paper a 2-means clustering-based anomaly detection technique is proposed. The presented method parses the set of training data, consisting of normal and anomaly data, and separates the data into two clusters. Each cluster is represented by its centroid one of the normal observations, and the other for the anomalies. The paper also provides appropriate methods for clustering, trai...

K-means is one of the widely researched clustering algorithms. But it is sensitive to the selection of initial cluster centers and estimation of the number of clusters. In this chapter, we propose a novel approach to find the efficient initial cluster centers using kd-tree and compute the number of clusters using joint distance function. We have carried out excessive experiments on various synt...

Several approaches to teaching undergraduate physics and engineering students using both the Dunn and Dunn and the Kolb Learning Style Models are discussed. The Dunn and Dunn Learning Style Model is employed with non-majors enrolled in introductory physics at American University and the Kolb Learning Style Model is employed with freshman engineering students at Purdue University. The basic elem...

Several approaches to teaching undergraduate physics and engineering students using both the Dunn and Dunn and the Kolb Learning Style Models are discussed. The Dunn and Dunn Learning Style Model is employed with nonmajors enrolled in introductory physics at American University and the Kolb Learning Style Model is employed with freshman engineering students at Purdue University. The basic eleme...

The reversed association theory (Dunn & Kirsner, 1988) provides a powerful procedure for studying the link between cognitive processes and task performance. It helps find whether two behavioral tasks involve the same or different cognitive processes. However, this theory has not been fully utilized. Finding reversed association requires a large, single study consisting of at least six independe...

MOTIVATIONAL INTERVIEWING (Miller & Rollnick, 1991) is a way of talking with people about change that was first developed for the field of addictions but has broadened and become a favored approach for use with populations in a variety of settings (Burke, Arkowitz & Dunn, 2002). It has been introduced to criminal justice in general (Birgden, 2004; McMurran, 2002; Farrall, 2002) and probation ef...

A study of VMware ESXi 5.1 server has been carried out to find the optimal set of parameters which suggest usage of different resources of the server. Feature selection algorithms have been used to extract the optimum set of parameters of the data obtained from VMware ESXi 5.1 server using esxtop command. Multiple virtual machines (VMs) are running in the mentioned server. K-means algorithm is ...

Since advanced technologies via social media, internet, virtual communities and networks internet of things (IoT), there are more multi-view data to be collected. Multi-view clustering is a substantial tool as natural design for data. K-means (KM) (single-view) had been extended handling data, called KM (MV-KM). In the literature, most MV-KM algorithms reported influenced by initializations als...