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Algorithms Behind Space Missions ~xRay Pixy

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Learn different algorithms used in Space Missions. Video Link Video Chapters: Algorithms Behind Space Missions 00:00 Introduction 00:52 Space Missions 04:26 Space Missions Challenges 07:04 Algorithms Used in Space Missions 10:36 Optimization Techniques 11:44 Conclusion  NASA conducts space missions to explore the universe for various scientific, technological, and practical reasons: Understanding Our Place in the Universe Search for Life Beyond Earth Studying Earth from Space Advancing Technology Supporting Human Exploration Resource Utilization Inspiring Humanity Examples of NASA Space Missions Apollo Program: Sent humans to the Moon (1969–1972). Mars Rovers (Spirit, Opportunity, Perseverance): Explored Mars' surface and geology. Voyager Missions: Studied the outer planets and interstellar space. Hubble Space Telescope: Captured breathtaking images of the universe. International Space Station (ISS): Supports research in microgravity and international collaboration. Different ...
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Metaheuristic Optimization Algorithms in Web Mining, Text Clustering, Bi...

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Metaheuristic Optimization Algorithms in Big Data, Web Mining and Text Clustering.


Metaheuristic optimization algorithms are best swarm intelligence methods and widely used today in Big Data, Web Mining AND Text clustering. Using metaheuristic optimization algorithms we can solve complex Machine Learning problems. 

Clustering: Clustering is a common text mining technique. We can used clustering technique for the representation of Dataset that contain similarities between objects. We can use clustering in Web mining, Image Processing, Sentiment Analysis, Data Clustering, Text document clustering, and Text classification. Clustering technique is classified into 3 classes:
1.) Overlapping
2.) Partitioning
3.) Hierarchical 

In Partitioning Process we can use metaheuristic optimization approaches. Partitioning process is used for the transformation of any given problem into optimization problem. Partitioning process is based on either minimization or maximization. Partitioning methods are applied in:
- Computer Science for Web mining, Image processing and Image Pattern Recognition.
- In robotics
- In wireless sensor network

Metaheuristic Approaches can be used to solve big data and clustering problems:
- Swarm based optimization algorithms
- Evolutionary Algorithms
- Physics based optimization Algorithms
- Art based optimization algorithms
- Bio-inspired optimization algorithms


This video is based on role of Metaheuristic Optimization Algorithm on the Text Clustering applications, Big Data and Web Mining. and text clustering.
Video Timestamps:
Introduction: 00:00
Metaheuristic Optimization Algorithms Role: 00:25
Text Clustering: 01:12
Clustering Techniques: 02:20
Fitness Function: 02:32
Partitioning Methods: 03:02
Clustering Example: 04:04
Clustering Process: 05:06
Text Clustering Problem: 06:54
Metaheuristic Optimization Algorithms in Text Clustering: 07:46
Text clustering measures: 09:19
Web Document Clustering: 09:30


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