Clustering and Classification in Infocommunications Technology/ Exercise 1

In today's era of data explosion, where manual classification is impossible, we advance the sophistication of unsupervised clustering technology from various perspectives—including enhancing accuracy, robustness, speed, and flexibility.

Various technologies relating to classifying and clustering.

Students will conduct independent research relating to themes selected from classifying and clustering etc., and acquire a deep understanding of classifying and clustering technology.

1. Student will learn recent trends of research related to classifying and clustering.
2. Student will learn techniques and skills to experiments for classifying and clustering.
3. Student will learn how to research for classifying and clustering.

Japanese

Discuss for classifying and clustering.

Students will be evaluated based on regular meetings, seminars, and their reports.

Textbooks and references will be offered in regular meetings.

Survey how clustering and classification are or could be applied to your own research field,
especially in your thesis.

• Wednesday 12:30-13:00
  The lecturer recommends making appointment in advance.

Non-regionally-oriented course

• Course that cultivates an ability for utilizing knowledge
• Course that cultivates a basic interpersonal skills
• Course that cultivates a basic self-management skills
• Course that cultivates a basic problem-solving skills

Most classes are interactive

• 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE