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In our everyday life we rely on set of heuristics that involve estimation of meaningful connections between events. In human evolutionary history, it was less costly to overestimate the meaning. The psychological phenomenon of apophenia (...

Extreme Learning Machine (ELM) is a feed-forward neural network with one hidden layer. In its modification called ELM Radial Basis Function the input data is a priori clustered into a number of sets represented by their centroids. The matrix of ...

Recommender system is that which collect users preferences and suggest the user some similar item that the user might like. It increases our interest in e-commerce sites by suggesting items. Recommender system suggests the appropriate items to the users ...

In this study, an Artificial Bee Colony ABC based clustering algorithm is proposed for solving continuous multiple facility location problems. Unlike the original version applied to multivariate data clustering, the ABC based clustering here solves the ...

This article describes how data is relevant and if it can be organized, linked with other data and grouped into a cluster. Clustering is the process of organizing a given set of objects into a set of disjoint groups called clusters. There are a number ...

Currently, many software development projects worldwide have problems with flaws, delays, and backlogs. This situation may create a highly demotivating work environment for technical workers and managers in general. This study is an attempt to better ...

The main purpose of this research was to find relations between the chemical composition of the wines and the wine testers' opinions on the wine quality. We used in our study a dataset which contains examples of red wine from Vinho Verde, Portugal. ...

Efficiently detecting conversation threads from a pool of messages, such as social network chats, emails,

comments to posts, news etc., is relevant for various applications, including Web Marketing, Information

Retrieval and Digital Forensics. Existing ...

Hierarchical routing is based on dividing the overall network structure into a set of smaller regions, each is managed via the so-called cluster head (CH). The cluster head is responsible for both inter- and intra-networking across all the sensors in ...

MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation. Altogether, understanding integrative and co-operative activities in gene regulation is conjugated with identification of miRNA families. In current applications, the ...

In this paper, a novel clustering algorithm, HASTA HierArchical-grid cluStering based on daTA field, is proposed to model the dataset as a data field by assigning all the data objects into qusantized grids. Clustering centers of HASTA are defined to ...

This article is a survey into clustering applications and algorithms. A number of important well-known clustering methods are discussed. The authors present a brief history of the development of the field of clustering, discuss various types of ...

Previous application of Kohonen's self organizing map to common visualizations has yielded promising results. In this research, we extend the classic two-dimensional scatter plot visualization algorithm into the third dimension by permitting competition ...

For highly imbalanced data sets, almost all the instances are labeled as one class, whereas far fewer examples are labeled as the other classes. In this paper, we present an empirical comparison of seven different clustering evaluation indices when used ...

Activity recognition has become a key component within smart environments that aim at providing assistive solutions for their users. Learning high level activities from low level sensor data depends on several parameters, one of which is the duration of ...

Rapid developments in the availability and access to spatially referenced information in a variety of areas have induced the need for better analytical techniques to understand the various phenomena. In particular, the authors' analysis is an insight ...

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments ...

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments ...

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments ...

Energy efficiency should be considered as a key design objective in wireless sensor networks (WSNs), since a sensor node can only be equipped with a limited energy supply. Clustering is one of the well-known design methods for managing the energy ...