Review of Various Clustering Methods Used To Ca - tegorize Seismic Data into Earthquake and Mining

Earthquake mainly produces Pand Swave at the point of occurrence. Mining site that mines the geological material from earth often makes the quarry blasts on the surface of earth to accelerate the mining process instead of drilling. This mining blast also causes the same wave as the earthquake. It is very difficult to differentiate between two of them as the characteristics of waves produced by these two events are similar. Sometimes mining sites are located near to residential area and discrimination of earthquake and quarry blast data is important to analyze the geological activities to create awareness. Data clustering is one of the effective techniques that differentiate the data into a number of clusters where a cluster contains similar data. ISR is a Government organization, captures the real time seismic data, which also measure the mining blast data and vehicle vibration and produce the waveform. Segregation of earthquake, mining blast and vehicle vibration data is the key problem here. In this paper, we studied and analyzed the complexity and limitations of several clustering and other data discrimination methods that can be applied on seismographic database to discriminate earthquake and quarry blast data.