Clustering
Incremental Learning
Incremental Learning Description Incremental Learning processes the data one element at a time against batch methods that work on the entire set of data at a time. It usually stores a small number of elements, such as a constant number, in contrast ...
Density Based Clustering
Density Based Clustering Description It classifies the given set of data by building clusters based on the idea that a cluster in the data space is a continuous region of high point density, separated from other clusters by continuous regions of low ...
Connectivity Based Clustering
Connectivity Based Clustering Description Connectivity Based Clustering builds the clusters based on the notion that the vectors of data points in space exhibit more similarity to each other than the data points lying farther away. Why to use To form ...
Centroid Based Clustering
Centroid Based Clustering Description In Centroid Based Clustering, a central vector represents each cluster. The objects are assigned to the clusters such that the squared distance between the object and the central vector is minimized. Why to use ...
Clustering
Clustering is the process of grouping objects such that objects in the same group (cluster) are more similar to each other compared to those in different groups (clusters). Clustering algorithms try to group similar objects in one cluster and the ...