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Title: web user-session inference using clustering technique
Page Link: web user-session inference using clustering technique -
Posted By: saikiranreddy
Created at: Wednesday 10th of March 2010 06:56:15 PM
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Title: Clustering Techniques
Page Link: Clustering Techniques -
Posted By: Nicks
Created at: Monday 15th of February 2010 12:55:50 AM
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Title: Data Clustering and Its Applications full report
Page Link: Data Clustering and Its Applications full report -
Posted By: project report tiger
Created at: Tuesday 02nd of February 2010 11:53:22 PM
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ABSTRACT

Fast retrieval of the relevant information from the databases has always been a significant issue. Different techniques have been developed for this purpose, one of them is Data Clustering. In this paper Data Clustering is discussed along with its two traditional approaches and their analysis. Some applications of Data Clustering like Data Mining using Data Clustering and Similarity Searching in Medial Image Databases are also discussed along with a case study of Microsoft Windows NT Operating system. The implem ....etc

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Title: tabu search algorithm of clustering in wireless sensor network
Page Link: tabu search algorithm of clustering in wireless sensor network -
Posted By: smkselvam
Created at: Sunday 07th of March 2010 12:09:03 AM
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Title: A Divide-And-Conquer Approach for Minimum Spanning Tree-Based Clustering
Page Link: A Divide-And-Conquer Approach for Minimum Spanning Tree-Based Clustering -
Posted By: ramu546
Created at: Friday 05th of February 2010 12:05:53 AM
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Title: BIRCH An Efficient Data Clustering Method For Very Large Data bases
Page Link: BIRCH An Efficient Data Clustering Method For Very Large Data bases -
Posted By: project topics
Created at: Monday 12th of April 2010 11:18:58 PM
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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 additiona ....etc

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Title: Ontology Discovery for the Semantic Web Using Hierarchical Clustering
Page Link: Ontology Discovery for the Semantic Web Using Hierarchical Clustering -
Posted By: computer science technology
Created at: Thursday 28th of January 2010 09:48:26 AM
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Abstract.
According to a proposal by Tim Berners-Lee, the World Wide Web should be extended to make a Semantic Web where human understandable content is structured in such a way as to make it machine processable. Central to this conception is the establishment of shared ontologies, which specify the fundamental objects and relations important to particular online communities. Normally, such ontologies are hand crafted by domain experts. In this paper we propose that certain techniques employed in data mining tasks can be ad ....etc

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Title: Secure Clustering in DSN with Key Predistribution and WCDS
Page Link: Secure Clustering in DSN with Key Predistribution and WCDS -
Posted By: seminar topics
Created at: Wednesday 31st of March 2010 03:01:33 PM
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Abstract

This paper proposes an efficient approach of secure clustering in distributed sensor networks. The clusters or groups in the network are formed based on offline rank assignment and predistribution of secret keys. Our approach uses the concept of weakly connected dominating set (WCDS) to reduce the number of cluster-heads in the network. The formation of clusters in the network is secured as the secret keys are distributed and used in an efficient way to resist the inclusion of any hostile entity in the clusters. Along with the desc ....etc

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Title: Medical image segmentation using clustering algorithm
Page Link: Medical image segmentation using clustering algorithm -
Posted By: computer science technology
Created at: Saturday 30th of January 2010 10:12:36 AM
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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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Title: data clustering and its applications
Page Link: data clustering and its applications -
Posted By: k.nsudeepthi
Created at: Thursday 25th of February 2010 01:07:15 AM
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