PPT-Distance-based methods

Xuhua Xia xxiauottawaca httpdambebiouottawaca Xuhua Xia Slide 2 Lecture Outline Objectives in this lecture Grasp the basic concepts distancebased treebuilding algorithms Learn the leastsquares criterion and the minimum evolution criterion and how to use them to construct a tree. Gerry Quinn. Deakin University. Data sets in community ecology. Multivariate abundance data. Sampling or experimental units. p. lots, cores, panels, quadrats ……. u. sually in hierarchical spatial or temporal structure. Basic Concepts and Algorithms. Bamshad Mobasher. DePaul University. 2. What is Clustering in Data Mining?. Cluster:. a collection of data objects that are “similar” to one another and thus can be treated collectively as one group. Gustavo Henrique Orair. Federal University of . Minas Gerais. Wagner Meira Jr.. Federal University of Minas Gerais. Presented by . Kajol. UH ID : 1358284. PURPOSE OF THE PAPER. Distance-Based . Phylogenetics. Phylogenetics. is the study of the evolutionary history of living organisms using . treelike diagrams . to represent pedigrees of these organisms. .. The tree branching . patterns. representing . Of the examined methods, Maximum Likelihood is recommended as the best general-use/first-try classifica-tion scheme for medium-resolution, multi-spectral data such as that provided by the Landsat seri Gustavo Henrique Orair. Federal University of . Minas Gerais. Wagner Meira Jr.. Federal University of Minas Gerais. Presented by . Kajol. UH ID : 1358284. PURPOSE OF THE PAPER. Distance-Based . 1. Nearest Neighbor Learning. Classify based on local similarity. Ranges from simple . nearest neighbor . to case-based and analogical reasoning. Use local information near the current query instance to decide the classification of that instance. 1. 4. 3. 2. 5. 1. 4. 2. 3. 5. Phylogenetic Trees. Nodes: species. Edges: time of independent evolution. Edge length represents evolution time. AKA genetic distance. Not necessarily chronological time. Structure-. based computer-aided drug . discovery (SB. -CADD) . approach:. helps to design and evaluate the quality, . in terms of affinity. , of series of ligands. .. Computational Methods in Drug Discovery. Centrality. , Similarity, and . Influence. Edith Cohen . Tel Aviv University. Graph Datasets:. Represent relations between “things”. Bowtie structure of the Web . Broder. et. al. 2001. Dolphin interactions. Visual-Inertial . Odometry. and SLAM. Leo Koppel. 11/07/2017. Basic visual . odometry. (Geiger 2011). Multi-State Constraint . Kalman. . Filter (. Mourikis. 2007). MSCKF for spacecraft . (. Mourikis. Methods. Dr Laura Emery . Laura.Emery@ebi.ac.uk. www.ebi.ac.uk. /training. Objectives. After this . tutorial you . should be able to. …. Discuss . a range of . methods for . phylogenetic . inference, their advantages. Prepared by. Dr. . Syed. Abdullah . Gilani. Course: . Phylogenetic. . Systematics. I (BIOL471). Sites and Marshall (2004) analyze 12 methods proposed to delimit species. . They divide . these methods into two categories: . Phylogenetics. is the study of the evolutionary history of living organisms using . treelike diagrams . to represent pedigrees of these organisms. .. The tree branching . patterns. representing . the evolutionary divergence are referred to as .