Organic Farming Patterns Analysis Based on Clustering Methods

DNS Usage Mining Based on Clustering Analysis of Co-occurrence Patterns: Methods and Applications

The principal goal of DNS usage mining is the discovery and analysis of patterns in the query behavior of DNS users. In this paper, we develop a unified framework for DNS usage mining based on Clustering analysis of cooccurrence data derived from DNS server query data. Through transforming the raw query data into co-occurrence matrix, some clustering approaches and probabilistic inferences can ...

On Model-Based Clustering, Classification, and Discriminant Analysis

The use of mixture models for clustering and classification has burgeoned into an important subfield of multivariate analysis. These approaches have been around for a half-century or so, with significant activity in the area over the past decade. The primary focus of this paper is to review work in model-based clustering, classification, and discriminant analysis, with particular attenti...

Discretization Based on Clustering Methods

Many data mining algorithms require as a pre-processing step the discretization of real-valued data. In this paper we review some discretization methods based on clustering. We describe in detail the algorithms of discretization of a continuos real-valued attribute using the hierarchical graph clustering methods.

Impact of Organic Farming on Biodiversity

Using Clustering and Factor Analysis in Cross Section Analysis Based on Economic-Environment Factors

Homogeneity of groups in studies those use cross section and multi-level data is important. Most studies in economics especially panel data analysis need some kinds of homogeneity to ensure validity of results. This paper represents the methods known as clustering and homogenization of groups in cross section studies based on enviro-economics components. For this, a sample of 92 countries which...