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Combined Higher Secondary Level Examination (SSC CHSL) is a standardized test conducted by the Staff Selection Commission (SSC) to recruit Lower Divisional Clerk (LDC)/ Junior Secretariat Assistant (JSA) / Postal Assistant and Data Entry Operator(DEO) officers to various posts in ministries, departments and organisations of the Government of India.
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters).
The SSC decided to conduct the Multi-Tasking (Non-Technical) Staff examination in 13 Indian languages, which are Urdu, Tamil, Malayalam, Telugu, Kannada, Assamese, Bengali, Gujarati,Konkani, Meitei , Marathi, Odia and Punjabi, in addition to Hindi and English, out of the 22 official languages of the Indian Republic, for the first time in ...
Instead of using the average silhouette to evaluate a clustering obtained from, e.g., k-medoids or k-means, we can try to directly find a solution that maximizes the Silhouette. We do not have a closed form solution to maximize this, but it will usually be best to assign points to the nearest cluster as done by these methods.
In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established ...
Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...
where n i is the number of points in cluster C i, c i is the centroid of C i, and c is the overall centroid of the data. BCSS measures how well the clusters are separated from each other (the higher the better). WCSS (Within-Cluster Sum of Squares) is the sum of squared Euclidean distances between the data points and their respective cluster ...