As a research branch of data mining, clustering, as an unsupervised learning scheme, focuses on assigning objects in the dataset into several groups, called clusters, without any prior knowledge. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is one of the most widely used clustering algorithms for spatial datasets, which can detect any shapes of clusters and can automatic...

The title complex, [Mn(C(5)O(5))(C(12)H(8)N(2))(2)], lies across a crystallographic twofold axis which passes through the Mn atom and bisects the croconate ligand. The two 1,10-phenanthroline (phen) ligands are arranged in a propeller manner and the local mol-ecular geometry of the MnN(4)O(2) unit is severely distorted octa-hedral. This may be inter-preted as a structural perturbation of the Mn...

In a mobile network environment, a Mobile Router (MR) has multiple communication interfaces to the Internet. It switches between or simultaneously uses these interfaces, causing network conditions within the MR to change. If the network conditions were shared with between nodes behind the MR (MNN) and their correspondent nodes (CN), it would be possible for applications to change its behavior a...

In this paper, a Multi-Negotiation Network (MNN) and a MultiNegotiation Influence Diagram (MNID) are proposed to optimally handle Multiple Related Negotiations (MRN) in a multi-agent system. Most popular, state-of-theart approaches perform MRN sequentially. However, a sequential procedure may not optimally execute MRN in terms of maximizing the global outcome, and may even lead to unnecessary l...

This paper examines neutrality, understood as a necessary requirement for law’s legitimacy. In the conventional, liberal formulation of it, law must neither favor nor depend on any particular conception good. Taking into consideration critique that principle neutrality has received, from within liberalism well rival perspectives, authors search an alternative. The proposed solution is Model Neu...

The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this work, we propose a new method for neighborhood size selection that is based on the concept of statistical confidence. We define the confidence associated with a decision that is made by the majority rule from a finite num...

In this paper we propose an algorithm for answering reverse nearest neighbor (RNN) queries, a problem formulated only recently. This class of queries is strongly related to that of nearest neighbor (NN) queries, although the two are not necessarily complementary. Unlike nearest neighbor queries, RNN queries nd the set of database points that have the query point as the nearest neighbor. There i...

This paper presents an empirical evaluation of a number of recently developed Automatic Target Recognition algorithms for Forward-Looking Infrared (FLIR) imagery using a large database of real FLIR images. The algorithms evaluated are based on convolutional neural networks (CNN), principal component analysis (PCA), linear discriminant analysis (LDA), learning vector quantization (LVQ), modular ...

as special depositional environments which are adjacent to the seas, deltas have provided a field for human habitat establishment. geomorphic features of deltas are in constant transformation due to their dynamic features. constructing dams on rivers can intensify these changes and cause either negative or positive consequences. minab delta in hormozgan province of iran is a round or crescent-s...