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Title: validation of mining association rules with hierarchical clustering
Page Link: validation of mining association rules with hierarchical clustering -
Posted By: jpmahadev
Created at: Saturday 24th of April 2010 01:22:28 AM
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Title: Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis
Page Link: Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis -
Posted By: seminar class
Created at: Tuesday 03rd of May 2011 11:53:34 AM
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Abstract
There is significant interest in the data mining and network management communities about the need to improve existing
techniques for clustering multivariate network traffic flow records so that we can quickly infer underlying traffic patterns. In this paper,
we investigate the use of clustering techniques to identify interesting traffic patterns from network traffic data in an efficient manner. We
develop a framework to deal with mixed type attributes including numerical, categorical, and hierarchical attributes for a one- ....etc

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Title: FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER N
Page Link: FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER N -
Posted By: seminar class
Created at: Tuesday 29th of March 2011 01:20:07 PM
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PRESENTED BY:
Narmadha.K
Panimalar.R
Pavithra.P
Praveena.M


FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER NUMBER

ABSTRACT
 To Handle Large Cluster Number In Embedded Systems, A Hardware Architecture Of Hierarchical K-means (Hk-means) Is Proposed To Support A Maximum Cluster Number Of 1024.
 It Adopts 10 Processing Elements For The Euclidean Distance Computations And The Level-order Binary-tree Traversal
 The Gate Count Of The Hardware Is 4 ....etc

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Title: An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning
Page Link: An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning -
Posted By: seminar details
Created at: Friday 08th of June 2012 03:32:30 PM
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An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning: An Innovative Approach from Relevance Feedback




INTRODUCTION

content-based image retrieval has been an active
research area in recent years. The interest in this
research area has inspired from the need to search
and well manage large volumes of Multimedia
information . CBIR extracts low-level features
which is Inbuilt in the images to present the contents of
images. E ....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: hierarchical clustering java source code
Page Link: hierarchical clustering java source code -
Posted By:
Created at: Wednesday 03rd of July 2013 02:07:18 AM
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Title: GHIC A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
Page Link: GHIC A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:50:59 PM
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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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Title: SHIP A Scalable Hierarchical Power Control Architecture for Large-Scale Data Centers
Page Link: SHIP A Scalable Hierarchical Power Control Architecture for Large-Scale Data Centers -
Posted By: Projects9
Created at: Monday 23rd of January 2012 07:38:32 PM
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Abstract—In today's data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or overheating due to increasingly high server density. While various power control strategies have been recently proposed, existing solutions are not scalable to control the power consumption of an entire large-scale data center, because these solutions are designed only for a single server or a rack enclosure. In a modern data center, however, power control needs to be enforced at th ....etc

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Title: java source code for hierarchical clustering
Page Link: java source code for hierarchical clustering -
Posted By:
Created at: Saturday 19th of January 2013 02:04:32 PM
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this code is very useful for us.thank u for giving this code.but registration is very difficult always showing error report. ....etc

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Title: Hierarchical Pattern-Based Clustering for Grouping Web Transactions
Page Link: Hierarchical Pattern-Based Clustering for Grouping Web Transactions -
Posted By: seminar paper
Created at: Wednesday 14th of March 2012 06:34:20 PM
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Hierarchical Pattern-Based Clustering for Grouping Web Transactions



Abstract:
Grouping customer transactions into segments is important in order to obtain better understanding of customers’ pattern. Currently, the hierarchical pattern-based clustering has been used to group customer transactions into segments. However, the processing time is still high due to difference parameter used between two clusters. In this paper, the difference will be based on the dif ....etc

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