Thiobenzanilides substituted in thioacyl moiety with one or more hydroxy groups are interesting for their biological effects depending on the substitution pattern. New findings in mechanisms of action of 2-hydroxybenzanilides insert 2-hydroxybenzanilides and their analogues, e.g. substituted thiobenzanilides, among interesting compounds in the development of new potential antimicrobial drugs. T...

To classify time series by nearest neighbors, we need to specify or learn one or several distance measures. We consider variations of the Mahalanobis distance measures which rely on the inverse covariance matrix of the data. Unfortunately — for time series data — the covariance matrix has often low rank. To alleviate this problem we can either use a pseudoinverse, covariance shrinking or limit ...

The bootstrap error -adjusted s ingle-sample technique IBESTl is shown to per form bet ter than the Mahalanobis d is tance met ric in qualitative near-M analysis. The BEST algorithm is designed for high-speed parallel processing supercomputers, but is also shown to operate efficiently on sing le processors. Using hypothet ica l multivariate data, the bias and RSD of the BEST and Mahalanobis met...

We propose to learn multiple local Mahalanobis distance metrics to perform knearest neighbor (kNN) classification of temporal sequences. Temporal sequences are first aligned by dynamic time warping (DTW); given the alignment path, similarity between two sequences is measured by the DTW distance, which is computed as the accumulated distance between matched temporal point pairs along the alignme...

in addition to drawing attention to the individual and social responsibilities, the holy qur’ān has also talked about the importance of the social groups and emphasized on the efficacy of groups on individuals and other groups and the impressionability of those individuals and other groups. in the meantime, the reference groups have a significant role in the development and degeneration of indi...

Mahalanobis distance is a metric for the between groups regarding specific criteria. measurement two data sets in space delineated by attributes. It will accurately assess giving various essential factors to characteristics of points since it considers variances and correlations characters. has an use education terms achievement analysis. powerful tool drawing inferences several variables. As d...

The supervised self-organizing map consists in associating output vectors to input vectors through a map, after self-organizing it on the basis of both input and desired output given altogether. This paper compares the use of Euclidian distance and Mahalanobis distance for this model. The distance comparison is made on a data classification application with either global approach or partitionin...

Distance-based record linkage (DBRL) is a common approach to empirically assessing the disclosure risk in SDC-protected microdata. Usually, the Euclidean distance is used. In this paper, we explore the potential advantages of using the Mahalanobis distance for DBRL. We illustrate our point for partially synthetic microdata and show that, in some cases, Mahalanobis DBRL can yield a very high re-...

This paper describes automatic detection and classification of visual symptoms affected by fungal disease. Algorithms are developed to acquire and process color images of fungal disease affected on commercial crops like chili, cotton and sugarcane. The developed algorithms are used to preprocess, segment, extract and reduce features from fungal affected parts of a crop. The feature extraction i...