'Nearby points' presentation slideshows

Using the World Wide Web

1.19k views • 107 slides

CHAPTER 18

CHAPTER 18. Techniques in Cell and Molecular Biology. Introduction. Research in cell biology requires complex instrumentation and techniques. Understanding the technology helps in understanding the cell. The light microscope uses the refraction of light rays to magnify an object.

1.24k views • 45 slides

Nonlinear Dimensionality Reduction

Nonlinear Dimensionality Reduction. Presented by Dragana Veljkovic. Overview. Curse-of-dimensionality Dimension reduction techniques Isomap Locally linear embedding (LLE) Problems and improvements. Problem description.

532 views • 31 slides

Nonlinear Dimensionality Reduction

Nonlinear Dimensionality Reduction. Presented by Dragana Veljkovic. Overview. Curse-of-dimensionality Dimension reduction techniques Isomap Locally linear embedding (LLE) Problems and improvements. Problem description.

502 views • 31 slides

Optimization

Optimization. Indiana University July 12 2013 Geoffrey Fox gcf@indiana.edu. Remarks on Optimization. September 25 2018 Geoffrey Fox gcf@indiana.edu http://www.infomall.org School of Informatics, Computing and Engineering Digital Science Center Indiana University Bloomington.

228 views • 21 slides

Constrained K-means Clustering with Background Knowledge

Constrained K-means Clustering with Background Knowledge. Wagstaff , Cardie , Rogers, Schroedl Proc. 18 th ICML, 2001. Background Knowledge. How to integrate background information (about the domain or the data set) into clustering algorithms Supervision in clustering can take two forms

296 views • 20 slides

Self-organizing Maps

Self-organizing Maps. Kevin Pang. Goal. Research SOMs Create an introductory tutorial on the algorithm Advantages / disadvantages Current applications Demo program. Self-organizing Maps. Unsupervised learning neural network Maps multidimensional data onto a 2 dimensional grid

456 views • 14 slides

Do Now 3/6/2012

191 views • 11 slides

6.2 Polynomials and Linear Factors

257 views • 9 slides

6.7/6.8 Analyzing Graphs of Polynomials

6.7/6.8 Analyzing Graphs of Polynomials. How do you find the local maximum and minimum on a polynomial graph? What is the maximum number of turning points based on the degree of polynomial?

405 views • 7 slides

Prof. David R. Jackson ECE Dept.

151 views • 0 slides