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Data Mining: Concepts and Techniques Cluster Analysis Li Xiong

Data Mining: Concepts and Techniques Cluster Analysis Li Xiong

Data Mining: Concepts and Techniques Cluster Analysis Li Xiong. Slide credits: Jiawei Han and Micheline Kamber Tan, Steinbach, Kumar. Chapter 7. Cluster Analysis. Overview Partitioning methods Hierarchical methods Density-based methods Other Methods Outlier analysis Summary.

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2.26k views • 190 slides
Data Mining: Concepts and Techniques Cluster Analysis Li Xiong

Data Mining: Concepts and Techniques Cluster Analysis Li Xiong

Data Mining: Concepts and Techniques Cluster Analysis Li Xiong. Slide credits: Jiawei Han and Micheline Kamber Tan, Steinbach, Kumar. Chapter 7. Cluster Analysis. Overview Partitioning methods Hierarchical methods Density-based methods Other Methods Outlier analysis Summary.

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2.31k views • 190 slides
Cluster Analysis

Cluster Analysis

Cluster Analysis. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Density-Based Methods Grid-Based Methods Subspace Clustering/Bi-clustering Model-Based Clustering.

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671 views • 44 slides
Chapter 5: Clustering

Chapter 5: Clustering

Chapter 5: Clustering. Searching for groups. Clustering is unsupervised or undirected. Unlike classification, in clustering, no pre-classified data. Search for groups or clusters of data points (records) that are similar to one another.

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406 views • 40 slides
Clustering: Partition Clustering

Clustering: Partition Clustering

Clustering: Partition Clustering. Lecture outline. Distance/Similarity between data objects Data objects as geometric data points Clustering problems and algorithms K-means K-median K-center. Inter-cluster distances are maximized. Intra-cluster distances are minimized.

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521 views • 34 slides
Chapter 8: Clustering

Chapter 8: Clustering

Chapter 8: Clustering. Searching for groups. Clustering is unsupervised or undirected. Unlike classification, in clustering, no pre-classified data. Search for groups or clusters of data points (records) that are similar to one another.

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496 views • 34 slides

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