CLINCH: Clustering Incomplete High-Dimensional Data for Data Mining Application.
Zunping ChengDing ZhouChen WangJiankui GuoWei WangBaokang DingBaile ShiPublished in: APWeb (2005)
Keyphrases
- high dimensional data
- data mining applications
- data analysis
- missing values
- high dimensionality
- data points
- subspace clustering
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- data sets
- high dimensional datasets
- similarity search
- clustering high dimensional data
- data mining tasks
- high dimensional data sets
- data distribution
- original data
- data mining
- data mining systems
- knowledge discovery
- data mining techniques
- machine learning
- high dimensional spaces
- clustering method
- data warehousing
- manifold learning
- clustering algorithm
- computer vision
- neural network
- legal issues
- locally linear embedding
- data mining methods
- association rules
- k means
- knn
- input data