Clustering based segmentation of text in complex color images

We propose a novel scheme based on clustering analysis in color space to solve text segmentation in complex color images. Text segmentation includes automatic clustering of color space and foreground image generation. Two methods are also proposed for automatic clustering: The first one is to determine the optimal number of clusters and the second one is the fuzzy competitively clustering method based on competitively learning techniques. Essential foreground images obtained from any of the color clusters are combined into foreground images. Further performance analysis reveals the advantages of the proposed methods.

Competitiveness of the Kelp Industry Cluster in Rongcheng City,Shandong Province

In order to study the development status of kelp industry in Rongcheng in recent years, the centralization degree of kelp industry clusters and the comparative advantage of kelp industry in Rongcheng, Xiapu and Jinpu from 2010 to 2020 were compared and analyzed by indicators such as location quotient index, industrial agglomeration index, coefficient of concentration, scale advantage index, efficiency advantage index, and comprehensive advantage index, and the deep-seated factors affecting the competitiveness of kelp industry in Rongcheng were analyzed. Meanwhile, measures of improving the competitiveness of the kelp industry cluster in Rongcheng were put forward.

A New Method for Clustering Based on Development of Imperialist Competitive Algorithm

Clustering is one of the most widely used data mining techniques that can be used to create homogeneous clusters.K-means is one of the popular clustering algorithms that,despite its inherent simplicity,has also some major problems.One way to resolve these problems and improve the k-means algorithm is the use of evolutionary algorithms in clustering.In this study,the Imperialist Competitive Algorithm(ICA) is developed and then used in the clustering process.Clustering of IRIS,Wine and CMC datasets using developed ICA and comparing them with the results of clustering by the original ICA,GA and PSO algorithms,demonstrate the improvement of Imperialist competitive algorithm.

Research on Industry Cluster Competitiveness Based on DEA-Ridge Regression Two-step Method--,Taking the Hunan Automobile Industry Cluster as an Example

Based on DEA - Ridge Regression two-step method, the paper tries to construct industrial cluster competitiveness research framework for empirical analysis, and by the Hunan automobile industry cluster as an example. The study found that Hunan automobile industry cluster competitiveness is relatively weak, full of the very big promotion space; further research shows that the human capital investment, fixed capital investment, land investment and policy support are the main factors influencing the efficiency of automobile industry cluster in Hunan province.

Some Comments on Embeddedness, Knowledge Transfer, Industry Clusters and Global Competitiveness

This paper develops a dynamic theoretical framework for global competitiveness, which describes the relationships among organizations in an industry cluster. The spiral for knowledge transfer, culture variables and embeddedness influence knowledge transfer. Embeddedness and knowledge transfer are the key determinants of industry clusters that lead to global competitiveness. Industry clusters are characterized by external economies, generalized reciprocity and flexible specialization.

Analysis of competitiveness of Gannan navel orange characteristic industrial cluster

The competitiveness of navel orange characteristic industrial cluster lies in three aspects. First is the competitiveness of specific resources. The second is the competitiveness of market. The third is the competitiveness of manpower, organization and system background .An evaluation model on competitiveness of navel orange characteristic industry cluster is established with AHP in this article. The conclusion is that the competitive essence of navel orange characteristic industry cluster refers to the quality of the soil, the climate, the geographical position and the transportation condition which the cluster has. Compared with the navel orange characteristic industry clusters in western developed countries, especially in USA, the disparity of competitiveness of Gannan navel orange characteristic industrial cluster （GNOCIC for short） is obvious from a global perspective. Compared with the navel orange characteristic industry competitive advantage of GNOCIC is extremely obvious. clusters in Three Gorges, and Sichuan Province, the competitive advantage of GNOCIC is extremely obvious.

How to Improve Urban Competitiveness

Urban competitiveness has been the hot topic for researches and studies over years. The aim of this paper is to elaborate urban competitiveness. First, definition of competitiveness is discussed in detail and then the differences of competitiveness of nations and enterprises are presented. In Section 2, urban competitiveness is defined. Since the assessment of urban competitiveness is the focus of many studies, Section 3 elaborates four models or frameworks for assessing urbancompetitiveness. Last, but by no means the least, Chengdu has been discussed as a case on how to improve urban competitiveness. Three suggestions are put forward, which are clustering strategy, more efficient governance and urban marketing campaigns respectively.