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We have developed a method 'time-frequency (TF) clustering' to find the burstgravitational waves for TAMA data analysis. TF clustering method on sonogram(spectrogram) shows some characteristics of short duration signal. Usingparameters which represent the cluster shape, we can efficiently identify somepredicted gravitational wave forms and can exclude typical unstable spike likenoises due to detector instruments. The requirement of some parameters ofcluster achieved roughly 50% average efficiency for injected DFM waveforms of$h_{rss}\sim 2 \times 10^{-19}$ for type I burst. Also the reduction for signalby spike noises are more than one order improvement for the SNR$>$100.

Time-frequency clustering for burst gravitational waves search in TAMA300 data