'4 clusters' presentation slideshows

Image Segmentation by Clustering using Moments

Image Segmentation by Clustering using Moments. by, Dhiraj Sakumalla. What is segmentation? . It is to distinguish objects from background Types of segmentation edge based region based In the present project we use region based segmentation.

549 views • 36 slides

Cluster Analysis for Gene Expression Data

499 views • 35 slides

Efficient Interconnects for Clustered Microarchitectures

308 views • 30 slides

A genetic clustering algorithm for data with non-spherical-shape clusters

A genetic clustering algorithm for data with non-spherical-shape clusters. Outline. Motivation Objective Introduction The basic concept of genetic strategy The genetic clustering algorithm Experiments Concluding remarks and Summary Personal opinions Review. Motivation.

439 views • 27 slides

X-chromosomal markers and FamLinkX

X-chromosomal markers and FamLinkX. Athens, May 29, 2014. Use of markers on the X-chromosome to solve relationship issues. X-chromosomal typing in males reveals their haplotype. Males transmit their whole chromosome X to their daughters. All sisters share their paternal ChrX haplotype.

377 views • 21 slides

Globular Clusters close interactions in galactic central regions

229 views • 16 slides

Transformation-invariant clustering using the EM algorithm

Transformation-invariant clustering using the EM algorithm. Brendan Frey and Nebojsa Jojic. IEEE Trans on PAMI, 25(1) 2003. Goal. unsupervised learning of image structure regardless of transformation probabilistic description of the data

141 views • 14 slides

SLHC Calorimeter Trigger Algorithms

MB. SLHC Calorimeter Trigger Algorithms. The Algorithm. Calorimeter Clustering in 2x2 overlapping clusters Cluster Overlap cleanup,Classification (e/gamma,tau, jet fragment) ? Jet construction from fragments MET calculation from clusters Sort and select. Step 1 : clustering.

115 views • 11 slides

Jared Casper, Ronny Krashinsky, Christopher Batten, Krste Asanovi?

A Parameterizable FPGA Prototype of a Vector-Thread Processor. Jared Casper, Ronny Krashinsky, Christopher Batten, Krste Asanovi? MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA. Vector Execution Unit. Control Proc. Lane 0. Lane 1. Lane 2. Lane 3. VRU.

201 views • 10 slides

Data Mining

Data Mining. Cluster Analysis Output. K-Means Clustering 2-Cluster Solution. Are the assumptions of Cluster Analysis satisfied? Interpret the two clusters (even if assumptions violated). 3-Cluster Solution. Interpret the 3-cluster solution. Is it better than the 2-cluster solution?.

173 views • 5 slides