PPT-Mixtures, clustering, spatial

amp dynamic point processes and big data sets Mike West Department of Statistical Science Duke University cellular phenotypes in vaccine adjuvant studies Immune response studies. Ensemble Clustering. unlabeled . data. ……. F. inal . partition. clustering algorithm 1. combine. clustering algorithm . N. ……. clustering algorithm 2. Combine multiple partitions of . given. data . what is . homegeneous. ?. What is solute ?. Uniformly mixed – only see one layer. substance that dissolve in a solvent. What is solvent?. Is a substance that dissolves the solute. What is solution ?. [ & dynamic ] . point processes and big data sets . Mike . West. Department of Statistical Science. Duke University. . cellular phenotypes in vaccine adjuvant studies . Immune response studies. August 31. How do you separate?. How can you separate mixtures?. Separating. Separating is based on the difference in . physical properties . of the substances…. Think about how you would separate a bag of m&ms. Machine . Learning . 10-601. , Fall . 2014. Bhavana. . Dalvi. Mishra. PhD student LTI, CMU. Slides are based . on materials . from . Prof. . Eric Xing, Prof. . . William Cohen and Prof. Andrew Ng. Chapter 5. Ex:. Melting. Freezing. Boiling/evaporation. Condensation. Sublimation. Dissolving. Bending. Crushing. Breaking. Chopping. Filtration. distillation. Physical change. Does not make a different substance. How can matter be classified?. Atoms . are the smallest unit of an element that maintains the properties of that element.. The most basic ingredients to . all . matter. Atoms can be combined in three majors ways:. to . LC-MS Data Analysis.  . October 7 2013. . IEEE . International Conference on Big Data 2013 (IEEE . BigData. 2013. ). Santa Clara CA. Geoffrey Fox, D. R. Mani, . Saumyadipta. . Pyne. gcf@indiana.edu. 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. 2014EdusmartGR 4 Teacher GuideGrade 4Separating MixturesTEKS 45Matter and EnergyThe student knows thatmatter has measureable physical properties and those properties determine how matter is classified 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. 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. Randomization tests. Cluster Validity . All clustering algorithms provided with a set of points output a clustering. How . to evaluate the “goodness” of the resulting clusters?. Tricky because . 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.