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Datamining
(col10356)
Author:
saptarshi das
Keywords:
classification
,
clustering
,
datamining
,
neural network
,
regression tree
,
self organizing map
,
simulated anealing
,
support vector machine
Summary:
this course will give an troduction to basic datamining techniques. Advanced datamining techniques will be added later. The basic course will teach the theory behind and techniques for dataming. Author encourage the reader of this article to apply the techniques in real life data. The topics author want to cover ... simulated anealing
[Expand Summary]
this course will give an troduction to basic datamining techniques. Advanced datamining techniques will be added later. The basic course will teach the theory behind and techniques for dataming. Author encourage the reader of this article to apply the techniques in real life data. The topics author want to cover are resectively clustering, self organizing maps, clasification problems, regression tree, support vector machine, neural network, genetic algorithm, simulated anealing
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
70.59%
Revised:
2006-08-15
Revisions:
3
clustering
(m13655)
Author:
saptarshi das
Keywords:
average linkage
,
clustering
,
dendogram
,
distance function
,
hierarchical clustering
,
k-mean clustering
,
PAM
,
similarity function
,
similarity matrix
,
single linkage
Summary:
this module contains an introduction to one of the most popular datamining technique, clustering. First we will discuss what is clustering and when we need to do it. Next some general topics are discussed as how to calculate the distance or dissimilarity functions, what to do when we came across ... life problems.
[Expand Summary]
this module contains an introduction to one of the most popular datamining technique, clustering. First we will discuss what is clustering and when we need to do it. Next some general topics are discussed as how to calculate the distance or dissimilarity functions, what to do when we came across categorical attributes etc.. Next the discussion bifurcates into two majore ways of clustering the hierarchical method and partitioning method. Different methods under these two categories are discussed in detail. Working codes for these methods will be available sortly on author's personal we site http://emailsaptarshi.googlepages.com . The module ends with discussing real life problems.
[Collapse Summary]
Subject:
Test/Draft
Language:
English
Popularity:
59.30%
Revised:
2006-10-06
Revisions:
6
Popularity is measured as percentile rank of page views/day over all time
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