校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

分群法

Clustering Methods

學期
107-1
學分
3 學分
當期課號
5247
永久課號
ILE5036
開課單位
多媒體工程研究所
授課教師
林志青
校區
光復
類別
選修
上課時間表
週二
A
18:30–19:20
分群法
EC122
3 節連堂
B
19:30–20:20
C
20:30–21:20

* 根據陽明交大上課時間表所列

概述

課程目標: 使學生能知道各種Clustering Methods及使用時機

先修科目

We speak/write Chinese rather than English in class. If you are international students and can't read Chinese, then you should not take this course, for I do not have time to teach twice by doing translation, and I have too many chapters to teach.

教學方式

Teach 9 basic clustering methods in detail in the first 9 weeks, then teach advanced and extended methods and application in the remaining weeks. Some, but not all, material will be posted for students.

評分方式

50% from the first evaluation test; and 50% from the second evaluation test.

課程大綱
  • 9 basic clustering methods
  • Advanced and extended methods and application of clustering
週次計畫
週次主題
第 1 週K-means Method & ISODATA; Initialization of k-means
第 2 週Hierarchical methods
第 3 週Hierarchical methods; Peak-climbing method
第 4 週Graph-theoretical methods
第 5 週Fuzzy clustering
第 6 週Monothetic clustering
第 7 週Analytical clustering (low-dimensional)
第 8 週Analytical clustering (high-dimensional)
第 9 週Simulated Annealing and Deterministic Annealing methods; Vector quantization
第 10 週Exam
第 11 週Side-Match VQ
第 12 週Fast methods to find nearest cluster centers
第 13 週Clustering of category data (k modes); Clustering of category data (ROCK);
第 14 週Applying Hierarchical method to noisy data
第 15 週Probabilistic clustering; Clustering results' combination.
第 16 週Genetic Algorithms for clustering
第 17 週Cluster Validity
第 18 週Exam
教科書

1. Teacher's Notes. 2. Papers published recently.

Office Hours
地點
EC 240
時間
Monday noon 12:10-13:00, Wednesday 10:10-11:00
聯絡方式
jclin@cs.nctu.edu.tw