Outliers are eccentric data points with anomalous nature. Clustering outliers has received a lot of attention in the processing community. But, they inordinately affect quality results obtained case popular clustering algorithms during process finding an optimal solution. In this work, we propose novel method to classify grouping characteristics as either outlier or not. We use both distance an...

abstract aim of this research is landslide hazard zoning in syahdare watershed using logistic regression. therefore, outset landslide points recognized using air photography and extensive field studies. then distribution of landslide map was makes. then each effective element on landslide occurred for example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage...

The identification of important nodes in complex networks is an area exciting growth due to its applications across various disciplines like disease control, data mining and network system control. Many measures have been proposed date, but they are either based on the locality or global nature network. These typically use traditional Euclidean Distance , which only focuses local static geograp...