PPT-Clustering Ensembles Using Ant Algorithms

Javad Azimi Paul Cull Xiaoli Fern azimipcxfern eecsoregonstateedu Oregon State University Presenting by Paul Cull 1 Outline Clustering Ensembles Ant Clustering Proposed Method. Margareta Ackerman. Work with . Shai. Ben-David, . Simina. . Branzei. , and David . Loker. . Clustering is one of the most widely used tools for exploratory data analysis.. . Social Sciences. Biology. 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. Minimizing Conductance. Rohit. . Khandekar. ,. . Guy . Kortsarz. ,. and Vahab . Mirrokni. Outline. Problem Formulation and Motivations. Related Work. Our Results. Overlapping vs. Non-Overlapping Clustering. 1. Ensembles. CS 478 - Ensembles. 2. A “Holy Grail” of Machine Learning. Automated. Learner. Just a . Data Set. or. just an. explanation. of the problem. Hypothesis. Input Features. Outputs. CS 478 - Ensembles. Latest Results on outlier ensembles available at http://www.charuaggarwal.net/theory.pdf (Clickable Link) tsub-topics(eg.bagging,boosting,etc.)intheensembleanalysisareaareverywellformalized.Thisisrem CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Clustering Techniques and IR. Today. Clustering Problem and Applications. Clustering Methodologies and Techniques. Applications of Clustering in IR. Margareta Ackerman. Work with . Shai. Ben-David, . Simina. . Branzei. , and David . Loker. . Clustering is one of the most widely used tools for exploratory data analysis.. . Social Sciences. Biology. Latest Results on outlier ensembles available at http://www.charuaggarwal.net/theory.pdf (Clickable Link) tsub-topics(eg.bagging,boosting,etc.)intheensembleanalysisareaareverywellformalized.Thisisrem Data Mining and Machine Learning Group,. Computer Science Department, . University of Houston, . TX 77204-3010. August 8, 2008. Abraham . Bagherjeiran. * . Ulvi. . Celepcikay. Margareta Ackerman. Work with . Shai. Ben-David, . Simina. . Branzei. , and David . Loker. . Clustering is one of the most widely used tools for exploratory data analysis.. . Social Sciences. Biology. University of Cambridge. LCD-WG2, September 1 2010. Pandora PFA . Recent Changes. Recent Changes. This talk will discuss two areas of recent . Pandora . PFA development. :. 1. Forced . clustering. This concerns the behaviour of the reconstruction when the reclustering identifies a poor track-cluster match, which . Fuzzy . k. -means. Self-organizing maps. Evaluation of clustering results. Figures and equations from Data Clustering by . Gan. et al.. Center-based clustering. Have objective functions which define how good a solution is;. and Cluster Analysis. Dissertation Defense. Nan Li. Committee. : Dr. . Longin. Jan . Latecki. (Advisor). Dr. . Haibin. Ling. Dr. Slobodan . Vucetic. C. ontrol of . H. eterogeneous . L. arge-Scale Systems of . A. utonomous . V. ehicles (. TECHLAV. ). TECHLAV Annual Meeting. Greensboro, NC. May 31-June 1, 2017. http://techlav.ncat.edu. /. Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network.