Open cluster

Clusters' models According to Boja (2011), there are four economic agglomeration types; these types differ according to the type of firms within the agglomeration, the economic efficiency and flexibility and the innovation (figure #). Clusters are formed by firms that conduct activities in the same field and in which innovation is an important factor that stimulate the competition and the firms' growth. Figure# Porter's model Porter's model (figure#) is characterized by interdependence relations

Get, convert and load exchange data on to the data warehouse system. (2) Store and control the data into multidimensional database system (3) Provide data access to information technology professionals and businesses experts. (4) Analyze the data by program software. (5) Provide the data in a useful structure, like a graph or chart or table [12]. 1.1 Text mining: Text mining can be called as text data mining, which is roughly equal to text analytics; text mining is used for deriving

INTRODUCTION Aditya Birla Group is India's multinational corporation. With global vision, the Group is driven by a performance ethic pegged on value creation for its trustholders. The turnover annually for the group is US$ 41 billio and has over 120,000 employees belonging to over 25 different nationalities. With its varied interests, the group is dominant player in all the sectors in which it operates such as viscose fibre, cement, branded apparel, metals, carbon black, fertilizers, insulators

2) k-means Algorithm k-means is an unsupervised clustering algorithm which is used to classify input image to k clusters based on the nearest mean. The modified algorithm for k-means derived from [11] is explained as follows 1. Start. 2. Read the input image A. 3. Resize image A to a fixed size of 256× 256. 4. Divide the image into two 2×2 non overlapping blocks. 5. Represent each block in the form of a training vector space X. Each block is converted to the training vector Xi= (xi1, xi2,

Roswell: The truth covered in lies The truth covered in lies in Roswell, is a topic that has been talked about since 1947 that doesn’t seem ti end for a long time. Was the event that occurred in New Mexico really a UFO? Did the government covered up the story and say it was a weather balloon? What is The Project Mogul about? Were the real aliens covered by “Dummy Drops”? These are questions that have been asked along with others, and the people have been answering in their own ways, based on their

Bootstrap sampling in cluster analysis is a valuable tool that can be used in bioinformatics as well as in other areas of research. In bioinformatics, clustering can be used in genetics studies to find clusters of subjects according to their gene expression levels. We can then see if subjects with the same disease state or treatment have the same gene profiles, which can give us more information about diseases or treatments and their relations to genetics. The Hierarchical Ordered Partitioning

Vocabulary Assignment 1. Qualitative data: data that are based on observations (interviews and document analysis) not numerical data. By observing the students reading their books, I was able to collect qualitative data to show how well the students grasped the concept. 2. Quantitative data: data that are strictly numerical. After the students take the placement test for entering the school, the quantitative data showing their exact level of reading was formulated and placed into a chart show their

Ultrasound (US) images and apply unsupervised segmentation technique. There is a problem to segment Ultrasound image because of low contrast and high speckle noise. In this paper we use different unsupervised technique like Thresholding; k-means cluster technique and expectation maximization and compare all the result. Ultrasound images are texture feature image and expectation maximization (EM) technique gives best result of segmentation. In texture features images

1.0 Introduction In today’s competitive environment, maintaining customer relationships is a key to business success because customers are considered as important strategic resources of a business. However, all business markets contain many subgroups of customers that behave differently, that have different ambitions, and have different purchasing behaviours. Hence, each subgroup must be treated differently in order to build strong customer relationships. To compete with rival businesses, it is vital

Cluster Analysis Introduction Cluster analysis is the technique of grouping individuals into market segments on the basis of the multivariate survey information (Dolnicar, 2003). Market segmentation remains one of the most fundamental strategies for marketing. Organizations have to evaluate and choose the segments wisely as their target as this will determine how the organization will be in the marketplace. The quality of groupings management that an organization opts for is very paramount for the