Pages that link to "Item:Q980040"

The following pages link to An initialization method for the \(K\)-means algorithm using neighborhood model (Q980040):

Displaying 12 items.

• Weight selection in \(W-k\)-means algorithm with an application in color image segmentation (Q651544) (← links)
• New heuristic for harmonic means clustering (Q887198) (← links)
• Adaptive initialization method based on spatial local information for \(k\)-means algorithm (Q1719093) (← links)
• Initialization of \(K\)-modes clustering using outlier detection techniques (Q1750620) (← links)
• A benchmark calculation for the fuzzy \(c\)-means clustering algorithm: initial memberships (Q1934324) (← links)
• A new initialization and performance measure for the rough \(k\)-means clustering (Q2156472) (← links)
• A new distance with derivative information for functional \(k\)-means clustering algorithm (Q2198261) (← links)
• On \(K\)-means algorithm with the use of Mahalanobis distances (Q2444381) (← links)
• Initializing \(K\)-means batch clustering: A critical evaluation of several techniques (Q2475999) (← links)
• An initialization method based on an improved K-means algorithm (Q5128118) (← links)
• An Initialization Method Based on Hybrid Distance for <i>k</i>-Means Algorithm (Q5380869) (← links)
• Improved rough<i>k</i>-means clustering algorithm based on weighted distance measure with Gaussian function (Q5737888) (← links)