#6 II. Unsupervised Learning (2) | Mathematical and Information Sciences VII | UTokyo Channel

マイリスト

My List

気になるシリーズやコンテンツ、特集・コラムを保存し、あとからまとめて確認できます。

※ご利用にはログインが必要です。

You can save series, content, featured articles,
and columns, and review them collectively at a later time.

※ Log in is required to use My List.

プライバシーポリシー / Privacy Policy

UTokyoアカウントでログイン
（東京大学の教職員・学生） Log in with UTokyo Account
(Faculty and Students of
the University of Tokyo)

Googleアカウントでログイン
（一般の方） Log in with Google Account
(General Users)

※一般の方はGoogleアカウントのみ利用できます。

※ログインはGoogleアカウントに付与されたIDを用いた利用者照合によるものです。

※Google アカウントへのログインやGoogle との情報連携は行われません。

※ For general users, this service is available only with a Google account.

※ This log in is based on user verification using the identifier associated with your Google Account.

※ It does not involve logging into your Google Account, nor does it include any data sharing with Google.

Content

Arts and Sciences

Mathematical and Information Sciences VII

#6 | II. Unsupervised Learning (2)

Chapter

ソフトクラスタリング

00:05

目的関数

13:07

EMアルゴリズム

21:25

ギブスの不等式

23:48

次元削減問題

37:15

線形代数の復習

39:15

固有値分解

44:00

レーリー商

54:31

特異値分解

1:02:23

Arts and Sciences

Mathematical and Information Sciences VII

#6 | II. Unsupervised Learning (2)

1:19

Available for Audio-Only Listening

Share

Share

Link copied

What insights
did you gain?

Thank you for
the reaction!

Useful

0

Insightful

0

Profound

0

#AI & Information Science

#Official UTokyo Courses (OCW)

#Arts and Sciences

Lecturer

Shin Matsushima

Graduate School of Information Science and Technology

※Affiliations and positions are as of the time of recording.

Chapter

ソフトクラスタリング

00:05

目的関数

13:07

EMアルゴリズム

21:25

ギブスの不等式

23:48

次元削減問題

37:15

線形代数の復習

39:15

固有値分解

44:00

レーリー商

54:31

特異値分解

1:02:23

Mathematical and Information Sciences VII

Content List

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

Related Content

INTERNATIONAL REFUGEE LAW

International Refugee Law - Essentials and Comparatives

#16 INTERNATIONAL REFUGEE LAW

The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Academic Frontier Lecture Series

#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

1-11 Computing Linear Algebra

Special Lecture at UTokyo "Linear Algebra"

1-11 Computing Linear Algebra

Response Edition [EN]

Information Security Education

Response Edition [EN]

INTERNATIONAL REFUGEE LAW

International Refugee Law - Essentials and Comparatives

#16 INTERNATIONAL REFUGEE LAW

The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Academic Frontier Lecture Series

#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

1-11 Computing Linear Algebra

Special Lecture at UTokyo "Linear Algebra"

1-11 Computing Linear Algebra

Response Edition [EN]

Information Security Education

Response Edition [EN]

HOME
Mathematical and Information Sciences VII
#6 II. Unsupervised Learning (2)

Chapter

ソフトクラスタリング

00:05

目的関数

13:07

EMアルゴリズム

21:25

ギブスの不等式

23:48

次元削減問題

37:15

線形代数の復習

39:15

固有値分解

44:00

レーリー商

54:31

特異値分解

1:02:23

Mathematical and Information Sciences VII

Content List

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

Related Content

INTERNATIONAL REFUGEE LAW

International Refugee Law - Essentials and Comparatives

#16 INTERNATIONAL REFUGEE LAW

The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Academic Frontier Lecture Series

#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

1-11 Computing Linear Algebra

Special Lecture at UTokyo "Linear Algebra"

1-11 Computing Linear Algebra

Response Edition [EN]

Information Security Education

Response Edition [EN]

INTERNATIONAL REFUGEE LAW

International Refugee Law - Essentials and Comparatives

#16 INTERNATIONAL REFUGEE LAW

The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Academic Frontier Lecture Series

#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

1-11 Computing Linear Algebra

Special Lecture at UTokyo "Linear Algebra"

1-11 Computing Linear Algebra

Response Edition [EN]

Information Security Education

Response Edition [EN]

For UTokyo Staff Wishing to
Publish Videos

About UTokyo Channel

My List

Junior & Senior High School Students TOP

Terms of Use Privacy Policy

© Center for Research and Development
of Higher Education, The University of Tokyo

Debug

Language JA EN

canonical_url

https://ch.u-tokyo.ac.jp/content/?id=QXbKfAuFcQ6z&lang=en

alternate_urls

og:title

#6 II. Unsupervised Learning (2) | Mathematical and Information Sciences VII | UTokyo Channel

og:description

UTokyo Channelは、知と未来をつなぐ東京大学公式動画メディア。4,000本以上の授業や講演を公開しています。

hover_event

Hover a GA4 event target.

last_event

No GA4 event tracked yet.

video_playback_positions

No video playback positions.

mylist_user_id

4327dc44-681d-460d-ba3d-3593430325a9

video_playback_request

No video playback request yet.

analytics_config

{"page_type":"content_detail","content_publish_date":"2019-11-03"}