'Agglomerative methods' presentation slideshows

Agglomerative methods - PowerPoint PPT Presentation

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HIERARCHICAL AND k - MEANS CLUSTERING. 8. ?????????????????? ??.??????? ??????? ( jiratta . p@msu . ac . th, 08-9275-9797 ). 1. Clustering Task. Clustering refers to grouping records, observations, or tasks into classes of similar objects

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568 views • 44 slides
Clustering Methods for Class Discovery

Clustering Methods for Class Discovery

Clustering Methods for Class Discovery. Introduction. Gene expression profiles. Many genes show definite changes of expression between conditions These patterns are called gene profiles. Motivation (1): The problem of finding patterns.

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528 views • 42 slides
Clustering II

Clustering II

Clustering II. Hierarchical Clustering . Produces a set of nested clusters organized as a hierarchical tree Can be visualized as a dendrogram A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. No assumptions on the number of clusters

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508 views • 35 slides
Selecting Diverse Sets of Compounds

Selecting Diverse Sets of Compounds

Selecting Diverse Sets of Compounds. C371 Fall 2004. Review. Similar Property Principle: If structurally similar compounds are likely to exhibit similar activity, then maximum coverage of the activity space should be achieved by selecting a structurally diverse set of compounds. Techniques.

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4. Ad-hoc I: Hierarchical clustering Hierarchical versus Flat

4. Ad-hoc I: Hierarchical clustering Hierarchical versus Flat

4. Ad-hoc I: Hierarchical clustering Hierarchical versus Flat Flat methods generate a single partition into k clusters. The number k of clusters has to be determined by the user ahead of time. Hierarchical methods generate a hierarchy of partitions, i.e.

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378 views • 15 slides
4. Ad-hoc I: Hierarchical clustering Hierarchical versus Flat

4. Ad-hoc I: Hierarchical clustering Hierarchical versus Flat

4. Ad-hoc I: Hierarchical clustering Hierarchical versus Flat Flat methods generate a single partition into k clusters. The number k of clusters has to be determined by the user ahead of time. Hierarchical methods generate a hierarchy of partitions, i.e.

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166 views • 15 slides

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