Papers by Keyword: Cluster Model

Abstract: Earthen construction, as an architectural heritage, need to be studied and preserved. The analysis of the construction system’s clusters of Syunik region of the Republic of Armenia allows developing a model of restoration in the unified system and adaptation to the new requirements of the time. Documentation of the current condition of the preserved earthen structures in the Syunik region, analysis of the mechanisms of construction features. The study of the international experience of the earth structures makes it possible to propose ways for the implementation of the earthen structures typical of the region with new technology.

Abstract: Qingdao appliance industrial cluster is large-sized enterprises being as the core research of industrial cluster has been inadequate. The object of this paper is to prepare for building a fruitful theoretical model of industrial development with reasonable micro foundations of Qingdao, and study the transition of economics. The result shows that appliances industrial cluster of Qingdao is institution to complement the market for attaining successful industrial development, and it is exactly the problem that this paper attempts to solve.

Abstract: Based on the probability model of clustering algorithm constructs a model for each cluster, calculate probability of every text falls in different models to decide text belongs to which cluster, conveniently in global Angle represents abstract structure of clusters. In this paper combining the hidden Markov model and k - means clustering algorithm realize text clustering, first produces first clustering results by k - means algorithm, as the initial probability model of a hidden Markov model ,constructed probability transfer matrix prediction every step of clustering iteration, when subtraction value of two probability transfer matrix is 0, clustering end. This algorithm can in global perspective every cluster of document clustering process, to avoid the repetition of clustering process, effectively improve the clustering algorithm .

Abstract: By using the discrete variational method and constructing cluster model, the effect of a few Hf、Zr addition on martensite transformation temperature of TiNi alloy was investigated in electronic level. It is found that the bond order of the strongest bond in the clusters is promoted by introducing the Hf、Zr atoms and the magnitude of bond order is ascendant with increasing number of Hf、Zr atoms in the cluster. At the same time, contour plots of valence charge density on the parent (110) plane show the variety on bond. The change of martensite transformation temperature of TiNi alloy with Hf、Zr concentrations can be reflected by the value of the density of states at the Fermi level for the (110) crystal plane.