In this paper we explore how to represent object viewstructure by embedding the neighbourhood graphs of feature points in a pattern-space. We adopt a graph-spectral approach. We use the leading eigenvectors of the graph adjacency matrix to define clusters of nodes. For each cluster, we compute vectors of cluster properties. We embed these vectors in a pattern-space using two contrasting approac...

A total of fourty four salmonella spp. isolates randomly from sewage and soil samples were included for the genetic closeness and diversity study using Pulsed Field Gel Electrophoresis (PFGE) and Bionumerics. Xbal restriction enzyme band pattern was produced and the same was analyzed using Applied Maths software. Standard ISO method was used for the isolation of the bacteria from the samples. T...

An enhanced mobile sequential pattern mining using heuristic search technique is explored to predict mobile user’s behavior effectively. By analyzing the movement of mobile users with respect to time, location and service request, one can contend that users in different user groups may have different mobile transaction behavior. Similar transaction behavior in a set is grouped by applying heuri...

In this paper, we present a completely distributed algorithm for partitioning a given set of mobile nodes into clusters. The proposed algorithm tries to reduce the amount of computational and information overhead while maintaining a stable cluster formation. The algorithm is a distributed version of the Basic Leader-Follower Algorithm used in pattern recognition. Our algorithm does not require ...

Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. In this paper we present a novel similarity, Unilateral Jaccard Similarity Coefficient (uJaccard), which doesn’t only take into consideration the space among two points b...

Virtual Learning Environments (VLE), such as Moodle, are purpose-built platforms in which teachers and students interact to exchange, review, and submit learning material and information. In this paper, we examine a complex VLE dataset from a large Irish university in an attempt to characterize student behavior with respect to deadlines and grades. We demonstrate that, by clustering activity pr...

We propose a novel clustering method that is based on physical intuition derived from quantum mechanics. Starting with given data points, we construct a scale-space probability function. Viewing the latter as the lowest eigenstate of a Schrödinger equation, we use simple analytic operations to derive a potential function whose minima determine cluster centers. The method has one parameter, dete...