'Clustering technique' diaporamas de présentation

Molecular Classification of Cancer

Molecular Classification of Cancer. Class Discovery and Class Prediction by Gene Expression Monitoring. Overview. Motivation Microarray Background Our Test Case Class Prediction Class Discovery. Motivation. Importance of cancer classification

620 views • 39 slides

Multiple Window for Image Contrast Enhancement

Multiple Window for Image Contrast Enhancement. By Solomon Jones. OVERVIEW. INTRODUCTION LINEAR BINNING NON-LINEAR BINNING K-MEANS CLUSTERING CLIPPED NON-LINEAR BINNING HISTOGRAM EQUALIZATION INFORMATION GAIN. INTRODUCTION.

408 views • 26 slides

A Grid Scheduler based on Clustering Technique Israel Hernandez May 20 th , 2004

A Grid Scheduler based on Clustering Technique Israel Hernandez May 20 th , 2004. Institute for Computing Systems Architecture School of Informatics , University of Edinburgh. A Grid Scheduler based on Clustering Technique. Motivation.

181 views • 10 slides

Black Baltic Comparisons between two highly impacted semi-enclosed Seas

162 views • 4 slides

Improved Clustering Technique in Marketing Sector

Cluster analysis divides data into meaningful or useful groups (clusters). One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock market data to give individuals or institutions useful information about the market behaviour for investment decisions. Clustering techniques that are being used in Data Mining is presented. Data mining adds to clustering the complications of very large datasets with very many attributes of different types. This imposes unique computational requirements on relevant clustering algorithms with k-means method is one of the clustering techniques. Data mining facilitates marketing sector by classifying customer demographic that can be used to predict which customer will respond to a mailing or buy a particular product and it is very much helpful in growth of business. K means method proposed that will improved in marketing sector and also discuss how to support clustering technique in marketing sector. Experimental results show difference between clustered and non clustered data of marketing product that represent in graphically and theoretically. These results help customer to choose the products and also it saves the time. Pallavi R. Wankhade | Prof. Rajeshri R. Shelke"Improved Clustering Technique in Marketing Sector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd98.pdf http://www.ijtsrd.com/engineering/computer-engineering/98/improved-clustering-technique-in-marketing-sector/pallavi-r-wankhade

50 views • 4 slides

Anthony Wong, MTech 1 , Senthil K. Nachimuthu, MD 1 , Peter J. Haug, MD 1,2

Predicting Sepsis in the ICU using Dynamic Bayesian Networks. Anthony Wong, MTech 1 , Senthil K. Nachimuthu, MD 1 , Peter J. Haug, MD 1,2. 1 Department of Biomedical Informatics, University of Utah, 2 Intermountain Healthcare, Salt Lake City, Utah. Introduction

111 views • 1 slides