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Source publication
On Testing the Convergence of Projected Per Capita GDP of BRIC and G6 Countries Using Fuzzy Clustering Algorithm
Rakesh Bajaj*,Amit Srivastava*, D. S. Hooda**
Jaypee University of Information Technology
Solan (H.P), India – 173 215
Jaypee Institute of Engineering and Technology,
A.B.Road, Guna (M.P.), India – 473 226
Email: rakesh.bajaj@juit.ac....
Contexts in source publication
Context 1
... the centers of the fuzzy clusters have been determined, each of the “ n ” data points can be allocated to the cluster with the closest centre. In our application, we have two groups of countries – BRIC and G6, the former comprises of four countries while later of six countries. We have applied the algorithm (by using C-programming) for both the groups individually by taking number of clusters as c 2 and c 3 . The results of our projected convergence analysis are summarized in the figures and tables given here. Figure 2 and 3 shows the relative rise of per capita GDP of BRIC and G6 countries respectively. Figure 2 shows that per capita GDP of all the BRIC countries are increasing with respect to time, while for Brazil, it shows the relative fall in initial period (2000 to 2004) and then rise in subsequent years. On the other hand, Figure 3 shows the per capita GDP of the G6 countries are increasing with respect to time, except for Japan, where the growth was slow in initial years and then increased ...
Context 2
... the centers of the fuzzy clusters have been determined, each of the “ n ” data points can be allocated to the cluster with the closest centre. In our application, we have two groups of countries – BRIC and G6, the former comprises of four countries while later of six countries. We have applied the algorithm (by using C-programming) for both the groups individually by taking number of clusters as c 2 and c 3 . The results of our projected convergence analysis are summarized in the figures and tables given here. Figure 2 and 3 shows the relative rise of per capita GDP of BRIC and G6 countries respectively. Figure 2 shows that per capita GDP of all the BRIC countries are increasing with respect to time, while for Brazil, it shows the relative fall in initial period (2000 to 2004) and then rise in subsequent years. On the other hand, Figure 3 shows the per capita GDP of the G6 countries are increasing with respect to time, except for Japan, where the growth was slow in initial years and then increased ...
Citations
... The partitioned clusters are typically defined by the membership matrix of order (cxn), where the elements of the matrix are ik µ . Here ik µ specifies the degree of membership of k th data point in i th cluster and its value lies between [0] [1] ...
In the real world problems various pattern recognition technologies process huge amount of pattern to discover relevant knowledge. These techniques are computationally expensive. Additional knowledge also known as domain or background knowledge can help us in reducing the search as well as to optimize the hypotheses by decreasing the size of the search area. In the present paper we discuss the processes of domain knowledge, in effectively discovering knowledge. On the reduced search area we apply the dynamic fuzzy K-mediod technique to clusters these patterns in various clusters, the system is made adaptive to these dynamic changes. This technique finds many applications in various fields, like medical sciences, fraud detection in bank customer etc.
