Learning structure and concepts in data through data clustering

منو

" Learning structure and concepts in data through data clustering "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149470
Doc. No	:	ET21262
Main Entry	:	Gregory James Hamerly
Title Proper	:	Learning structure and concepts in data through data clustering
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Data clustering is an important and applications-oriented branch of ma-chine learning. Its goal is to estimate the structure or density of a set of datawithout a training signal. There are many approaches to data clustering that varyin their complexity and effectiveness, due to the wide number of applications thatthese algorithms have. Due to the explosive growth of the amount of data thathumans want to analyze, fast (e.g. linear-time) algorithms are necessary, butthey can often give poor quality results.While maintaining the runtime characteristics of the fast algorithms,.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44418.pdf
Title and statement of responsibility and	:	Learning structure and concepts in data through data clustering [Thesis]