20 search results - page 2 / 4 » A Very Fast Method for Clustering Big Text Datasets |
88
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
136
Voted
ICDM
2003
IEEE
15 years 6 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
127
Voted
DAS
2010
Springer
15 years 4 months ago
2010
Springer
In this paper, we present a novel graph-based method for extracting handwritten text lines in monochromatic Arabic document images. Our approach consists of two steps Coarse text ...
107
Voted
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
145
Voted
KDD
2002
ACM
16 years 1 months ago
2002
ACM
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...