spatial pattern of trees can possibly indicate stand history, population dynamics, and species competition. this research was investigated in the chahartagh forest reserve, ardal region, chaharmehal and bakhtiari province, central zagros forest, and southwest iranian state. in this study 53 hectare of the study area was selected and perfect inventory.  information includes the position and kind...

Abstract The fuzzy k-nearest neighbor (FKNN) algorithm, one of the most well-known and effective supervised learning techniques, has often been used in data classification problems but rarely regression settings. This paper introduces a new, more general model. Generalization is based on usage Minkowski distance instead usual Euclidean distance. not optimal choice for practical problems, better...

The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. It can be interpreted as an empirical Bayes classifier based on the estimated a posteriori probabilities from the k nearest neighbors. The performance of the k-nearest neighbor rule relies on the locally constant a posteriori probability assumption. This assumption, however, becomes problem...

This paper describes a comparison of approaches for time series classification. Our comparisons included two different outlier removal methods (discords and reverse nearest neighbor), two different distance measures (Euclidean distance and dynamic time warping), and two different classification algorithms (k nearest neighbor and support vector machines). An algorithm for semi-supervised learnin...

collection of appropriate qualitative and quantitative data is necessary for proper management and planning. used the suitable inventory methods is necessary and accuracy of sampling methods dependent the inventory net and number of sample point. nearest neighbor sampling method is a one of distance methods and calculated by three equations (byth and riple, 1980; cotam and curtis, 1956 and cota...

Important task when trying to find patterns in applications involving mining different types of data such as images, video, time series, text documents, DNA sequences, etc. Similarity searching module is a central component of content-based retrieval in multimedia databases Problem: finding objects in a data set S that are similar to a query object q based on some distance measure d which is us...

This paper demonstrates gait recognition using only the trajectories of lower body joint angles projected into the walking plane. For this work, we begin with the position of 3D markers as projected into the sagittal or walking plane. We show a simple method for estimating the planar offsets between the markers and the underlying skeleton and joints; given these offsets we compute the joint ang...

This paper proposes a novel k-nearest neighbor algorithm to predict soil moisture in maize field. In order to estimate soil moisture in maize field accurately without any destruction to root and soil, this paper uses biological characteristics of maize to estimate soil moisture, including plant height, leaf area, stem diameter, dry weight and fresh weight, all the values of which are non-negati...

One of the classical data mining techniques is k-nearest neighbor. This method uses the class of the k nearest neighbor to classify a new instance. The distance is calculated with one of the multiple mathematical distance metrics. In this paper, the technique is used in the air quality forecast domain in order to predict the value of the air quality index. This index is used to categorize the p...