'Minkowski distance' presentation slideshows

Image Retrieval

997 views • 72 slides

Graph-based Proximity Measures

Practical Graph Mining with R. Graph-based Proximity Measures. Nagiza F. Samatova William Hendrix John Jenkins Kanchana Padmanabhan Arpan Chakraborty Department of Computer Science North Carolina State University. Outline. Defining Proximity Measures Neumann Kernels

694 views • 53 slides

An Introduction to Clustering

An Introduction to Clustering. Qiang Yang Adapted from Tan et al. and Han et al. Clustering Definition. Given a set of data points, each having a set of attributes, and a similarity measure among them, Find clusters such that Data points in one cluster are more similar to one another.

530 views • 46 slides

?-Clusters Capturing Subspace Correlation in a Large Data Set

?-Clusters Capturing Subspace Correlation in a Large Data Set. Authors: Yang Jiong, Wei Wang etc.(ICDE02) Presenter: Xuehua Shen xshen@uiuc.edu. Presentation Layout. Overview of Clustering Related Work of ?-Clusters ?-Clusters Model FLOC algorithm. Clustering.

458 views • 34 slides

Clustering (1)

Clustering (1). Clustering Similarity measure Hierarchical clustering Model-based clustering. Figures from the book Data Clustering by Gan et al. Clustering. Objects in a cluster should share closely related properties have small mutual distances

825 views • 32 slides

Amit Satsangi amit@cs.ualberta

Amit Satsangi amit@cs.ualberta.ca. Novel Approaches for Small Bio-molecule Classification and Structural Similarity Search Karakoc E, Cherkasov A., and Sahinalp S.C. Background and Focus.

363 views • 23 slides

Different Distance Based Classification techniques on IRIS Data set

Different Distance Based Classification techniques on IRIS Data set. Data Set Description . Training Set: 60% of Each class instances Testing Set: 40% of each class Instances . Distance Metrics. Euclidean Distance (Squared ED, Normalized Square ED)

584 views • 19 slides

Distance Measures

Distance Measures. Tan et al. From Chapter 2. Similarity and Dissimilarity. Similarity Numerical measure of how alike two data objects are. Is higher when objects are more alike. Often falls in the range [0,1] Dissimilarity Numerical measure of how different are two data objects

545 views • 17 slides

Distance & Similarity Measures

Distance & Similarity Measures. Similarity and Dissimilarity. Similarity Numerical measure of how alike two data objects are. Is higher when objects are more alike. Often falls in the range [0,1] Dissimilarity Numerical measure of how different are two data objects

801 views • 14 slides