In this study, multivariate statistical methods including factor, principal component and cluster analysis were applied to surface water quality data sets obtained from the Tahtali River Basin, Turkey. Factor and principal components analysis results revealed that surface water quality was mainly controlled by agricultural uses and domestic discharges. Cluster analysis generated two clusters. B...

The largest share of policy and money within the European Union goes to agriculture. The Union’s Common Agricultural Policy has undergone several transformations in the last five decades, with the main change taking place in the 1990s. This change influenced agriculture in the Czech Republic, inasmuch as the fledgling republic was preparing to join the European Union and adopt its policies. In ...

A cluster is a collection of data objects that are similar to each other and dissimilar to the data objects in other clusters. K-means algorithm has been used in many clustering work because of the ease of the algorithm. But time complexity of algorithm remains expensive when it applied on large datasets. To improve the time complexity, we implemented parallel k-means algorithm for cluster larg...

Building a model to rapidly simulate the impact of typhoons on agriculture and to predict agricultural losses is crucial and great help for remedial measure and distributing subvention right after the disaster. The relationship between typhoon-related meteorological factors and agricultural losses was first evaluated, and the Pearson’s test was applied to find consequences of both landfall and ...

As the number of systems which offer annotations on digital documents increases, robust anchoring of annotations is a key challenge. It is especially important if the annotator lacks write-access to the document being annotated. For example, if someone makes an annotation on a web page today and the web page changes tomorrow, what happens to the annotation? One approach is simply to “orphan” th...

abstract- inadequate water supply is the major problem for agriculture in arid and semi-arid regions. thus, effective management should be considered for water resources planning. in this research, a model was provided which is able to estimate optimal land and water allocation in the doroodzan irrigation network. optimal water management model was used at farm level to evaluate different defic...

We present a method for dealing with the large document collections that takes into account the user needs in a better way. The user can choose the desired granularity of the hierarchy and then apply this hierarchy to document collection for classifying the documents. The granularity depends directly on the number of clusters. The clusters are presented to the user in two different ways: (1) as...

Pseudomonas, an enormously diverse genus of the γ-Proteobacteria, is an important member of soil microbial communities. In this study, genetic heterogeneity and plant growth promotory property of Pseudomonas was compared within the group Pseudomonas sensu stricto isolated from the lesser explored niches of Himalayan region. A significant difference (P < 0.001 in total Pseudomonas count) was obs...

MOTIVATION Modern protein sequencing techniques have led to the determination of >50 million protein sequences. ProtoNet is a clustering system that provides a continuous hierarchical agglomerative clustering tree for all proteins. While ProtoNet performs unsupervised classification of all included proteins, finding an optimal level of granularity for the purpose of focusing on protein function...

The paper discusses and implements hierarchical clustering of documents. The objective is to group similar documents together using hierarchical clustering methods. The paper aims at organizing a set of documents into clusters. The paper is focused on Web Content mining by clustering web documents. Clustering is done on document corpus in MATLAB environment. The result is groups or clusters of ...