Search hier, 300 result(s) found

hierarchical clustering analysis

hierarchical clustering is through the data set according to a certain method of hierarchical decomposition until it satisfies certain conditions are met. According to different classification principles that can unite and divide into two methods, this program through the VC code to simulate the hie...

hierarchical clustering implementation (complete linkage, single linkage)

Complete-linkage clustering is one of several methods of agglomerative hierarchical clustering.  In the beginning of the process, each element is in a cluster of its own.  The clusters are then sequentially combined into larger clusters, until all elements end up being in the...

hierarchical clustering method

hierarchical Clustering through data set in accordance with a method for hierarchical decomposition, up until a certain condition is met. In accordance with the classification principles are different, can be divided into two cohesion and splitting methods, this procedure through the c # code that s...

hierarchical clustering

In data mining, hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two types:[citation needed]Agglomerative: This is a "bottom up" approach: each observation starts in its own clus...

AHP code for calculating weight with hierachicaly anatical way

AHP code for calculation weight wiht hierachicaly anatical way. Welcome to download and try. Thank  you for your support....

R language analytic hierarchy process

R AHP is the decision always elements related to broken down into levels such as objectives, guidelines, programmes, on the basis of the qualitative and quantitative approach to decision making. This method is United States University of Pittsburgh Professor of operations research Sadie to early 70,...

hierarchical Clustering algorithm

hierarchical Clustering algorithm of hierarchical clustering and have said previously the sequence clustering are very different, it doesn't generate a single cluster, but produces a clustering level. It means a hierarchy tree. Introduced before the hierarchical clustering, to introduce a concept--n...

hierarchical Routing Technique for WSN

The area of wireless sensor networks (WSNs) is one of the emerging and fast growing fields in the scientific  world. This has brought about developing low cost, low-power and multi-function sensor nodes. However,  the major fact that sensor nodes run out of energy qui...

Matlab implementation of fuzzy analytic hierarchy process

Chromatographic analysis method is a combination of quantitative and qualitative multi-objective decision-making method is a method of high frequency of use in many areas of economic management, urban planning has been widely applied. Because of its results were affected by a greater influence of su...

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