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NIPS
2003
13 years 6 months ago
An Iterative Improvement Procedure for Hierarchical Clustering
We describe a procedure which finds a hierarchical clustering by hillclimbing. The cost function we use is a hierarchical extension of the  -means cost; our local moves are tree...
David Kauchak, Sanjoy Dasgupta
CVPR
2010
IEEE
14 years 1 months ago
Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs
In this paper, a novel hierarchical clustering method using link analysis techniques is introduced. The algorithm is formulated as an authority seeking procedure on graphs, which c...
Minsu Cho (Seoul National University), Kyoung Mu L...
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
13 years 8 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
13 years 10 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
SCANGIS
2001
13 years 6 months ago
Improving relief classification with contextual merging
Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algor...
Bård Romstad