'Nearest centroid' presentation slideshows

Course on Data Mining (581550-4)

7.11. 24./26.10. 14.11. Home Exam. 30.10. 21.11. 28.11. Course on Data Mining (581550-4). Intro/Ass. Rules. Clustering. Episodes. KDD Process. Text Mining. Appl./Summary. Course on Data Mining (581550-4). Today 14.11.2001. Today's subject : Classification, clustering

634 views • 54 slides

PCA, Clustering and Classification by Agnieszka S. Juncker

PCA, Clustering and Classification by Agnieszka S. Juncker. Part of the slides is adapted from Chris Workman. Motivation: Multidimensional data. Pat1 Pat2 Pat3 Pat4 Pat5 Pat6 Pat7 Pat8 Pat9 209619_at 7758 4705 5342 7443 8747 4933 7950 5031 5293 7546

566 views • 48 slides

Clustering

Clustering. The process of grouping samples so that the samples are similar within each group. Clustering. Algorithm of Clustering. Hierarchical clustering Organizes the data into larger groups, which contain smaller groups, like a tree or dendrogram.

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Chapter Four

Chapter Four. Basic techniques for cluster detection. Chapter Overview. The problem of cluster detection Measuring proximity between data objects The K-means cluster detection method The agglomeration cluster detection method Performance issues of the basic methods

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Multiple Window for Image Contrast Enhancement

Multiple Window for Image Contrast Enhancement. By Solomon Jones. OVERVIEW. INTRODUCTION LINEAR BINNING NON-LINEAR BINNING K-MEANS CLUSTERING CLIPPED NON-LINEAR BINNING HISTOGRAM EQUALIZATION INFORMATION GAIN. INTRODUCTION.

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From W1-S16

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Weather Mining

322 views • 13 slides

A Cluster-Based Framework for Land Cover Classification and Change Detection

Objectives To develop an algorithm for unsupervised classification on a single variable (NDVI) which takes intra-annual variation into account. Using this algorithm produces thematic maps with as many informational classes as desired by the user.

105 views • 1 slides