• V. Sathya
• Simran Bajaj
• Bharat Parmar
• Debapriya Roy
• Yuvraj Poonia

Presently day's clients are keen on separation learning as there is fast development in computerised information because of day today improvement in data just as PC innovation. Presently, YouTube is the worldwide method for video sharing. It is having certain constraints, for example, it having inertia in on the web learning.Subtitles are introduced of a small scale address versatile learning framework that can support multiplatforms. The framework joins insightful push, discourse acknowledgment, video explanation, Lucene full-content hunt, bunching investigation, Android advancement, and different innovations. The stage enables students to get to smaller scale address recordings and other high caliber miniaturized scale address assets wherever and at whatever point they like, in whatever time interims they have accessible. Instructors can acquire measurable examination consequences of the smaller scale address in MMLS to give instructing/learning criticism and a successful correspondence stage.

Cluster Analysis, MMLS, MOOC, M-Learning

"Cluster Analysis Based Video Annotation For Micro E-Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.191-194, April-2019, Available :http://www.jetir.org/papers/JETIR1904C30.pdf

"Cluster Analysis Based Video Annotation For Micro E-Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp191-194, April-2019, Available at : http://www.jetir.org/papers/JETIR1904C30.pdf