Now showing items 31-40 of 59
A vibration method for discovering density varied clusters
MULTI-DENSITY DBSCAN USING REPRESENTATIVES: MDBSCAN-UR.
Avoiding objects with few neighbors in the K-Means process and adding ROCK Links to its distance
A Modified DBSCAN Clustering Algorithm.
AVOIDING NOISE AND OUTLIERS IN K-MEANS.
An Initialization Method for the K-means Algorithm using RNN and Coupling Degree
A Novel Clustering Algorithm using K-means (CUK). The Islamic
Initializing k-means clustering algorithm using statistical information
Multi density DBSCAN
Image Retrieval Based on Content Using Color Feature: Color Image Processing and Retrieving