For many clustering algorithms,it is very important to determine an appropriate number of clusters,which is called cluster validity problem.In this paper,a new clustering validity assessment index is proposed based on...For many clustering algorithms,it is very important to determine an appropriate number of clusters,which is called cluster validity problem.In this paper,a new clustering validity assessment index is proposed based on a novel method to select the margin point between two clusters for in-ter-cluster similarity more accurately,and provides an improved scatter function for intra-cluster similarity.Simulation results show the effectiveness of the proposed index on the data sets under consideration regardless of the choice of a clustering algorithm.展开更多
The present research established a preliminary indicator assessment system satisfying Chinese characters for exposure, sensitivity, and social adaptive capacity related to climate change. The 31 province-level adminis...The present research established a preliminary indicator assessment system satisfying Chinese characters for exposure, sensitivity, and social adaptive capacity related to climate change. The 31 province-level administrative regions in China's Mainland were considered in our research. We developed three dimensions of indices related to climate change, including primary, secondary,and tertiary indicators. We chose all variables and indicators based on a literature review and used principal component analysis and the varimax method to develop a weighted assessment index system. Districts in central China scored higher on the overall exposure index than other sample districts, western China generally exhibited higher sensitivity, and eastern China exhibited comparatively higher social adaptive capacity than the other regions. This study also provides perspective for adaptation policies that all regions in China could adopt to determine development direction decision-making based on their specific conditions and diversified comparative advantages to enhance adaptive capacity in response to climate change.展开更多
文摘For many clustering algorithms,it is very important to determine an appropriate number of clusters,which is called cluster validity problem.In this paper,a new clustering validity assessment index is proposed based on a novel method to select the margin point between two clusters for in-ter-cluster similarity more accurately,and provides an improved scatter function for intra-cluster similarity.Simulation results show the effectiveness of the proposed index on the data sets under consideration regardless of the choice of a clustering algorithm.
基金support from the Tianjin Social Science Key Project Fund:[Grant Number TJGL16-012]National Social Science Fund of China:[Grant Number 15CJY009]for financial support
文摘The present research established a preliminary indicator assessment system satisfying Chinese characters for exposure, sensitivity, and social adaptive capacity related to climate change. The 31 province-level administrative regions in China's Mainland were considered in our research. We developed three dimensions of indices related to climate change, including primary, secondary,and tertiary indicators. We chose all variables and indicators based on a literature review and used principal component analysis and the varimax method to develop a weighted assessment index system. Districts in central China scored higher on the overall exposure index than other sample districts, western China generally exhibited higher sensitivity, and eastern China exhibited comparatively higher social adaptive capacity than the other regions. This study also provides perspective for adaptation policies that all regions in China could adopt to determine development direction decision-making based on their specific conditions and diversified comparative advantages to enhance adaptive capacity in response to climate change.