Advantages and disadvantages of clustering in data mining
Answers
The concept of Data Mining is growing in popularity in business activity in general. We are living in an information era, and we have more and more data been generated in every aspect you can think of. Every time you swap your grocery card, trying to get a discount when buy wherever products. That's data being downloaded into a database, and most transaction you do, there is some sort of data download. Organizations are storing, processing and analysing data more than any time in history and this trend will continue to grow.
Data Mining is the incorporation of mathematical methods that may include mathematical equations, algorithms, traditional logistic regression, neural networks, segmentation, classification, clustering, etc. Those are all methods that utilize mathematics. Data Mining is applicable across industry sectors. Generally wherever we have processes, and wherever we have data, it is the application of these powerful mathematical techniques that will extract trends patterns