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7 years ago in Algorithms By Renu

Types of clustering algorithm

I have decided to conduct research in data science. I want basic information about different types of clustering algorithms.

All Answers (3 Answers In All)

By Deepa S Answered 7 years ago

Clustering involves the grouping of data points. K-Means clustering is the well known clustering algorithm. K-means starts with a random choice of cluster centers. Hence it yields different clustering outcomes on various runs of the algorithm. Mean shift clustering is a sliding-window based algorithm that is used to find dense areas of data points. It is a centroid-based algorithm. I.e. it mains at locating the center points of each group which will work by updating candidates for center points within the sliding window.

By Carol Grace Answered 7 years ago

Hierarchical clustering algorithms consist of 2 categories: Top-down and bottom-up. The bottom-up algorithm treats every single data point as a single cluster at the outset and then merge pairs of groups until all groups have been combined into a single cluster.

By Pritam Kapoor Answered 7 years ago

Expectation maximization cluster uses a Gaussian mixture model. This method is used to determine the parameters of a Gaussian.
https://www.ims.uni-stuttgart.de/institut/mitarbeiter/schulte/theses/phd/algorithm.pdf.

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