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Title: privacy preserving clustering in data mining 2012
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Posted By: LUHAR
Created at: Thursday 17th of August 2017 06:39:52 AM
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Title: data clustering and its applications
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Posted By: [email protected]
Created at: Thursday 17th of August 2017 06:04:41 AM
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Title: a link based cluster ensemble approach for categorical data clustering doc
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Posted By: mitthebunker
Created at: Thursday 05th of October 2017 04:53:50 AM
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Title: clustering in data mining seminars report
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Posted By: simiwatson
Created at: Thursday 17th of August 2017 05:25:48 AM
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clustering in data mining seminar report

Aims and Outline of This Module
Discussing the idea of clustering.
Applications
Shortly about main algorithms.
More details on:
k-means algorithm/s
Hierarchical Agglomerative Clustering
Evaluation of clusters
Large data mining perspective
Practical issues: clustering in Statistica and
WEKA. ....etc

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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: avinash_chauhan007
Created at: Thursday 17th of August 2017 06:11:37 AM
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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 additional ....etc

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Title: Data Mining Clustering
Page Link: Data Mining Clustering -
Posted By: nagarani
Created at: Thursday 17th of August 2017 05:54:58 AM
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Data Mining: Clustering



What is Cluster Analysis

Cluster: a collection of data objects
Similar to one another within the same cluster
Dissimilar to the objects in other clusters
Cluster analysis
Grouping a set of data objects into clusters
Clustering is unsupervised classification: no predefined classes
Typical applications
As a stand-alone tool to get insight into data distribution
As a preprocessing step for other algorithms

Examples of Clustering Applications ....etc

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Title: a link based cluster ensemble approach for categorical data clustering dataflow
Page Link: a link based cluster ensemble approach for categorical data clustering dataflow -
Posted By: Nirav
Created at: Thursday 05th of October 2017 04:02:27 AM
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Title: Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
Page Link: Clustering and Sequential Pattern Mining of Online Collaborative Learning Data -
Posted By: balaji_satish
Created at: Thursday 17th of August 2017 06:49:02 AM
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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevant aspects of the group s ....etc

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Title: Fuzzy c-Means Clustering of Incomplete Data
Page Link: Fuzzy c-Means Clustering of Incomplete Data -
Posted By: MAYANK5249
Created at: Thursday 17th of August 2017 05:52:30 AM
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Fuzzy c-Means Clustering of Incomplete Data



INTRODUCTION

WE ARE interested in clustering a set of objects
represented by a numerical object data set
into clusters, . The
numerical data describes the objects by specifying values for
particular features. For example, if the th component of each
datum corresponds to the feature of weight, then the th component
of , denoted by , gives the weight of object . In
some situations, feature vectors in can have missing components
[ ....etc

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Title: A Link-Based Cluster Ensemble Approach for Categorical Data Clustering
Page Link: A Link-Based Cluster Ensemble Approach for Categorical Data Clustering -
Posted By: aju
Created at: Thursday 05th of October 2017 05:39:08 AM
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Although attempts have been made to solve the problem of grouping categorical data across clusters, the results being competitive with conventional algorithms, it is observed that these techniques, unfortunately, generate a final data partition based on incomplete information. The underlying set information array only displays cluster data point relationships, with many entries remaining unknown. The article presents an analysis that suggests that this problem degrades the quality of the result of the cluster and presents a new approach based o ....etc

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