Abstract:

This paper presents a data clustering method named BIRCH(Balanced Iterative Reducing and Clustering using Hierarchies), and demonstrate that these especially suitable for very large data bases . BIRCH icrementally and dynamically clusters incoming multy dimensional metric data points to trie to produce the best qulity clustering with available recourses (i.e., available memory and time constraints).

BIRCH can typically find a good clustering with a single-scan of the data and improve the quality further with few additional ....etc

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hai I need matlab code for detection of gluacoma using clustering algorithm ....etc

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please post the source code for clustering with multiviewpoint based similarity measure iee paper ....etc

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To get full information or details of algorithm for fuzzy c means clustering java please have a look on the pages

http://seminarsprojects.net/Thread-effective-fuzzy-clustering-algorithm-for-abnormal-mr-brain-image-segmentation-report

http://seminarsprojects.net/Thread-a-fuzzy-self-constructing-feature-clustering-algorithm-for-text-classification

http://seminarsprojects.net/Thread-to-design-a-fuzzy-similarity-based-self-constructing-feature-clustering-algorithm

http://seminarsprojects.net/Thread-spatial-fuzzy-clustering-using-em-and-markov ....etc

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Direct Clustering Algorithm (DCA) is a methodology for identification of cellular manufacturing structure within an existing manufacturing shop. The DCA was introduced in 1982 by H.M. Chan and D.A. Milner The algorithm restructures the existing machine / component (product) matrix of a shop by switching the rows and columns in such a way that a resulting matrix shows component families (groups) with corresponding machine groups. See Group technology. The algorithm is executable in manual way but was already suitable for computer use of the time ....etc

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To get full information or details of fuzzy c means clustering please have a look on the pages

http://seminarsprojects.net/Thread-fuzzy-c-means-clustering-of-incomplete-data

http://seminarsprojects.net/Thread-fuzzy-c-means-clustering-based-digital-camouflage-pattern-design

if you again feel trouble on fuzzy c means clustering please reply in that page and ask specific fields in fuzzy c means clustering ....etc

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I am doing a project on realization of clustering using k-means algorithm.

Can any one help me to realize the following matlab codes,how it works,specifications and detail explanations regarding the code functions and its implementations, please help me out.

1.
function d=DistMatrix(A,B)
=size(A);
=size(B);
if hA==1& hB==1
d=sqrt(dot((A-B),(A-B));
else
C=;
D=flipud(C);
E=;
F=flipud(E);
G=A*C;
H=A*D;
I=B*E;
J=B*F;
d=sqrt((G-I').^2+(H-J').^2);
....etc

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I'm looking for a practical example( a set of data that birch algorithm is implemented on them step by step).I want to see the algorithm process step by step . ....etc

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....etc

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can you provide clear explanation for the formulas used in adaptive fuzzy k mean clustering algorithm for image segmentation.. n how the calculations are done??? ....etc

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