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Title: Abstract In this seminars the method used contains a degrading insulation model and a
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Title: Brain Tumor detection using Color-Based K-means Clustering Segmentationfull report u
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Posted By: projectsofme
Created at: Friday 01st of October 2010 01:33:15 PM
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Brain Tumor detection using Color-Based K-means Clustering Segmentation

INTRODUCTION

This paper proposes a color-based segmentation method that uses the K-means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color-based segmentation algorithm with K-means is to convert a given gray-level MR image into a color space imag ....etc

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Title: model based method for projective clustering
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Created at: Wednesday 31st of October 2012 10:31:01 PM
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Title: A Divide-And-Conquer Approach for Minimum Spanning Tree-Based Clustering
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Posted By: ramu546
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Title: Frequent Term-Based Text Clustering
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Posted By: project report maker
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ABSTRACT

Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for associa ....etc

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Title: coding for efficient concept based mining model for enhancing text clustering
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Created at: Saturday 03rd of November 2012 04:49:18 AM
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Title: science model working polyhouse model
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Title: Privacy-preserving Data Publishing Based on De-clustering
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Posted By: project topics
Created at: Monday 02nd of May 2011 12:45:51 PM
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Privacy-preserving Data Publishing Based on De-clustering –IEEE-vb.net

In recent years, privacy preservation has become a serious concern in publication of personal data because of the wide availability of personal data. In the literature, we know that the degree of privacy protection is really determined by the number of distinct sensitive values in each
group which is classified according to quasi-identifiers. In this paper, we present a novel method to protect data privacy by partitioning the microdata into some groups based on ....etc

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Title: BIRCH An Efficient Data Clustering Method For Very Large Data bases
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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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