PPT-Wine Clustering Ling Lin

Contents Motivation Data Dimension ality ReductionMDS Isomap ClusteringKmeans Ncut Ratio Cut SCC Conclustion Reference Motivation Clustering is a main task of exploratory data mining. Ex Fr Karst Chi Zhi Ganoderma japonicum Fr Lloyd Zi Zhi Pharmaceutical Name Ganoderma Properties sweet neutral Channels Entered Heart Liver Lung Ling Zhi Ganoderma hapter 14 ection 2 ourishing erbs that alm the hen pirit Copyright 2004 Chinese M Adapted from Chapter 3. Of. Lei Tang and . Huan. Liu’s . Book. Slides prepared by . Qiang. Yang, . UST, . HongKong. 1. Chapter 3, Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . 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. Lecture outline. Distance/Similarity between data objects. Data objects as geometric data points. Clustering problems and algorithms . K-means. K-median. K-center. What is clustering?. A . grouping. of data objects such that the objects . What is clustering?. Why would we want to cluster?. How would you determine clusters?. How can you do this efficiently?. K-means Clustering. Strengths. Simple iterative method. User provides “K”. California wine shipments increased 4.65% in retail value, or a total of $34.1 billion, with case shipments to all markets (US and international) increasing 1.1%, and to the US market, increasing 2.3%.. Lecture outline. Distance/Similarity between data objects. Data objects as geometric data points. Clustering problems and algorithms . K-means. K-median. K-center. What is clustering?. A . grouping. of data objects such that the objects . Wine Richie Thetford www.thetfordcountry.com Introduction What God says: Proverbs 20:1 Proverbs 23:29-35 1 Peter 4:3 Traditions or Doctrine? Matthew 15:8-9 Acts 4:18-20 1 Peter 2:21-22 1. Mark Stamp. K-Means for Malware Classification. Clustering Applications. 2. Chinmayee. . Annachhatre. Mark Stamp. Quest for the Holy . Grail. Holy Grail of malware research is to detect previously unseen malware. 1. Mark Stamp. K-Means for Malware Classification. Clustering Applications. 2. Chinmayee. . Annachhatre. Mark Stamp. Quest for the Holy . Grail. Holy Grail of malware research is to detect previously unseen malware. About Port-Wine Stains. About 3 out of every 1,000 kids are born with a port-wine stain — a birthmark that literally looks like maroon wine was spilled or splashed on the skin. .. Port-wine stains . 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. Log. 2. transformation. Row centering and normalization. Filtering. Log. 2. Transformation. Log. 2. -transformation makes sure that the noise is independent of the mean and similar differences have the same meaning along the dynamic range of the values.. What is clustering?. Grouping set of documents into subsets or clusters.. The Goal of clustering algorithm is:. To create clusters that are coherent internally, but clearly different from each other.