GHIC: A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 9, Language: Java

Abstract: Grouping customer transactions into segments may help understand customers better. The marketing literature has concentrated on identifying important segmentation variables (e.g., customer loyalty) and on using cluster analysis and mixture models for segmentation. The data mining literature has provided various clustering algorithms for segmentation without focusi ....etc

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segmentation algorithm for medical image segmentation. The use of the conventional watershed algorithm for medical image analysis is widespread because of its advantages, such as always being able to produce a complete division of the image. However, its drawbacks include over-segmentation and sensitivity to false edges. We address the drawbacks of the conventional watershed algorithm when it is applied to medical images by using k-means clustering to produce a primary segmentation of the image before we apply our improved watershed segmentatio ....etc

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A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection-IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 7,
Abstract—
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an
issue. In this paper, we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm. Our
approach (which we call NMA_CFS) makes feature selection an integral part of the global clustering search procedure and ....etc

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Dear Sir/Madam,

I want to prepare and submit QMS data for PNB for the OD taken by our company.

I want a format of QMS with ratios & formulas to prepare the same.

Regards

Sandeep ....etc

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ABSTRACT
Breast cancer is one of the major causes of death among women.
Small clusters of micro calcifications appearing as collection of
white spots on mammograms show an early warning of breast
cancer. Early detection performed on X-ray mammography is the
key to improve breast cancer diagnosis. In order to increase
radiologist’s diagnostic performance, several computer-aided
diagnosis (CAD) schemes have been developed to improve the
detection of primary identification of this disease. In this paper, an
attempt is made to de ....etc

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developing an algorithm for data mining using clustering genetic algorithm at c++



With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....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 ....etc

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Hello , I need the direct clustering algorithm excel formula for my college project ,please

Marwan Shehata ....etc

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tabu search algorithm of clustering in wireless sensor network details & abstract and ppt

.net c# coadings ....etc

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i need a help from this topic LOW COST DTC ALGORITHM FOR INDUCTION MOTOR WITH OUT AC PHASE CURRENT SENSORS ....etc

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