Wednesday, April 19, 2006

CatKul Dami 18/05/06

Semalem kuliah dami mbahas:

Lecture 14 "Pattern Evaluation"
** Gmn ngeset minsup
** Cross-Support Pattern
** h-confidence
** Misleading
** Symmetric & Asymmetric measures

Lecture 18 "Cluster Analysis"
** Apllications of Cluster Analysis :
- Undestranding
- Summarization
** Types of clustering :
- Hierarchical
- Partitional

** Types of clusters :
- Well-Separated Clusters
- Prototype-based or Center-based Clusters
- Graph-based or Contiguous-based clusters
- Density-based Clusters
- Conseptual Clusters

** K-mean Clustering
algoritm -->
select K points as the initial centroids
repeat
from K clusters by assigning all points to the closes centroid
recompute the centroid of each cluster
until the centroids don't change

** SSE--> utk mengevaluasi clusters --> makin rendah makin bagus

** Empty Clusters

Lanjut blajar yoookkkk.....!!!

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