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Clustering Prof. Navneet Goyal BITS, Pilani

Clustering Prof. Navneet Goyal BITS, Pilani

Clustering Prof. Navneet Goyal BITS, Pilani. Inter-cluster distances are maximized. Intra-cluster distances are minimized. What is Cluster Analysis?.

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1.56k views • 132 slides
Clustering Prof. Navneet Goyal BITS, Pilani

Clustering Prof. Navneet Goyal BITS, Pilani

Clustering Prof. Navneet Goyal BITS, Pilani. Inter-cluster distances are maximized. Intra-cluster distances are minimized. What is Cluster Analysis?.

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1.46k views • 130 slides
Fall 2004, CIS, Temple University CIS527: Data Warehousing, Filtering, and Mining Lecture 6

Fall 2004, CIS, Temple University CIS527: Data Warehousing, Filtering, and Mining Lecture 6

Fall 2004, CIS, Temple University CIS527: Data Warehousing, Filtering, and Mining Lecture 6 Clustering Lecture slides taken/modified from: Jiawei Han ( http://www-sal.cs.uiuc.edu/~hanj/DM_Book.html ) Vipin Kumar ( http://www-users.cs.umn.edu/~kumar/csci5980/index.html ).

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893 views • 89 slides
Data Mining: Concepts and Techniques Clustering

Data Mining: Concepts and Techniques Clustering

Data Mining: Concepts and Techniques Clustering. Chapter 8. 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 Outlier Analysis

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859 views • 59 slides
Spatial and Temporal Data Mining

Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. Clustering I. Vasileios Megalooikonomou. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods

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690 views • 47 slides
CIS664-Knowledge Discovery and Data Mining

CIS664-Knowledge Discovery and Data Mining

CIS664-Knowledge Discovery and Data Mining. Clustering I. Vasileios Megalooikonomou Dept. of Computer and Information Sciences Temple University. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is Cluster Analysis? Types of Data in Cluster Analysis

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478 views • 47 slides
Data Mining: Concepts and Techniques Clustering

Data Mining: Concepts and Techniques Clustering

Data Mining: Concepts and Techniques Clustering. Chapter 8. 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 Outlier Analysis

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700 views • 42 slides
Data Mining: Concepts and Techniques Clustering

Data Mining: Concepts and Techniques Clustering

Data Mining: Concepts and Techniques Clustering. Chapter 8. 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 Outlier Analysis

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483 views • 42 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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405 views • 40 slides
What Is Good Clustering?

What Is Good Clustering?

What Is Good Clustering?. A good clustering method will produce high quality clusters with high intra-class similarity low inter-class similarity The quality of a clustering result depends on the similarity measure used by the method.

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618 views • 35 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
Cluster Analysis Part I

Cluster Analysis Part I

Cluster Analysis Part I. Learning Objectives. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods. General Applications of Clustering. Pattern Recognition Spatial Data Analysis

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523 views • 32 slides

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