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 |
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| n |
Important Tasks
in Data Mining
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q |
Clustering
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n |
Grouping
together of “similar” objects
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q |
Classification
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n |
Labelling new
objects given an existing grouping
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q |
Matrix
Approximations
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n |
Reducing
dimensionality (SVD, PCA, NNMF,…..)
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| n |
Obstacles
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q |
High
Dimensionality
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q |
Sparsity
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q |
Noise
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| n |
Need for robust
and scalable algorithms
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